Triple
T8449628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Orange |
E199768
|
entity |
| Predicate | codenameColor |
P83426
|
FINISHED |
| Object |
orange
Orange is a bright, warm color commonly associated with energy, creativity, and enthusiasm.
|
E735052
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: orange | Statement: [Mr. Orange, codenameColor, orange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: orange Context triple: [Mr. Orange, codenameColor, orange]
-
A.
ORANGE
ORANGE is the radio callsign used by the Dutch airline TUI fly Netherlands for its flight operations.
-
B.
Orange
Orange is a common English surname of likely Norman or French origin, shared by various individuals including the British singer Jason Orange.
-
C.
Orange
Orange is a small town in north-central Massachusetts known for its rural character, historic mill village roots, and location along the Millers River.
-
D.
Orange
Orange is one of the color-coded lines of Miami’s Metrorail system, serving as a distinct route that includes Brickell station among its stops.
-
E.
Orange
Orange is one of the primary lines of the Washington Metro rapid transit system, serving multiple stations across the Washington, D.C. metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: orange Triple: [Mr. Orange, codenameColor, orange]
Generated description
Orange is a bright, warm color commonly associated with energy, creativity, and enthusiasm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: orange Target entity description: Orange is a bright, warm color commonly associated with energy, creativity, and enthusiasm.
-
A.
ORANGE
ORANGE is the radio callsign used by the Dutch airline TUI fly Netherlands for its flight operations.
-
B.
Orange
Orange is a common English surname of likely Norman or French origin, shared by various individuals including the British singer Jason Orange.
-
C.
Orange
Orange is a small town in north-central Massachusetts known for its rural character, historic mill village roots, and location along the Millers River.
-
D.
Orange
Orange is one of the color-coded lines of Miami’s Metrorail system, serving as a distinct route that includes Brickell station among its stops.
-
E.
Orange
Orange is one of the primary lines of the Washington Metro rapid transit system, serving multiple stations across the Washington, D.C. metropolitan area.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codenameColor Context triple: [Mr. Orange, codenameColor, orange]
-
A.
colorDesignationInName
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
B.
codenameUser
Indicates that a user is assigned or associated with a particular codename.
-
C.
codenameOwner
Indicates that one entity is the designated owner or holder of the specified codename associated with another entity.
-
D.
kitColorCode
Indicates the color designation or code assigned to a kit, specifying its visual color scheme or appearance.
-
E.
kitColorsNickname
Indicates that a particular kit color scheme is associated with or referred to by a specific nickname.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dc85e48819083340d022d0dba9b |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce1f88d404819096c6024c0e61d1ea |
completed | April 2, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce209338b48190ba8375200a5529bd |
completed | April 2, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69cbd0f5a3648190beb53a139a2d5482 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:09 p.m.