Triple
T5182240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Superior Unit Award |
E116947
|
entity |
| Predicate | streamerColor |
P61940
|
FINISHED |
| Object | green and red with gold edges |
—
|
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: green and red with gold edges | Statement: [Army Superior Unit Award, streamerColor, green and red with gold edges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streamerColor Context triple: [Army Superior Unit Award, streamerColor, green and red with gold edges]
-
A.
announcerColorUS
Indicates that an announcer’s commentary or graphics are presented using the U.S. color scheme or color standard.
-
B.
leadCharacterColor
Indicates that one entity is the primary character and the other specifies the color associated with that lead character.
-
C.
laterColorBroadcast
Indicates that the referenced broadcast occurred at a later time than another broadcast and was transmitted in color.
-
D.
firstColorTelecast
Indicates that the subject entity was the first to be broadcast in color on television.
-
E.
hasColorPlay
Indicates a relationship where something exhibits or incorporates playful or varied use of color.
- F. None of above. chosen
Provenance (4 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd799d50388190bf2b7dfdd90949e9 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:46 p.m.