Triple
T4946806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Longhorn Hellraisers |
E111070
|
entity |
| Predicate | associatedWithColors |
P60
|
FINISHED |
| Object | burnt orange |
—
|
LITERAL FINISHED |
How this triple was built (2 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: burnt orange | Statement: [The Longhorn Hellraisers, associatedWithColors, burnt orange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithColors Context triple: [The Longhorn Hellraisers, associatedWithColors, burnt orange]
-
A.
sharesColorsWith
Indicates that two entities have one or more colors in common.
-
B.
associatedWithHomeKitColor
Indicates that something is linked to or corresponds with a specific color configuration used in Apple HomeKit.
-
C.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
D.
conferenceColorAssociation
Indicates an association between a conference and a specific color used to represent or identify it.
-
E.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
- F. None of above.
Provenance (3 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70abf8dc819090269d0e1ce9f871 |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.