Triple
T36768053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private Cowboy |
E908396
|
entity |
| Predicate | helmetInsignia |
P57385
|
FINISHED |
| Object | U.S. Marine Corps emblem |
—
|
NE NERFINISHED |
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: U.S. Marine Corps emblem | Statement: [Private Cowboy, helmetInsignia, U.S. Marine Corps emblem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helmetInsignia Context triple: [Private Cowboy, helmetInsignia, U.S. Marine Corps emblem]
-
A.
helmetLogo
chosen
Indicates that one entity serves as the logo or emblem displayed on the helmet of another entity.
-
B.
helmetColor
Indicates the specific color attribute assigned to a helmet in the relationship.
-
C.
helmetVariant
Indicates that one helmet is an alternative or modified version of another helmet within the same general type or model.
-
D.
helmetType
Indicates the specific category or style of helmet associated with an entity.
-
E.
wearsHelmetBrand
Indicates that an entity uses or is equipped with a helmet of a specified brand.
- 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_69f76e786ba481909cdcf6cf6b39dd32 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.