Triple
T24946790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raiders shield logo |
E624204
|
entity |
| Predicate | helmetFeature |
P101062
|
FINISHED |
| Object | single black eye patch on pirate |
—
|
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: single black eye patch on pirate | Statement: [Raiders shield logo, helmetFeature, single black eye patch on pirate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helmetFeature Context triple: [Raiders shield logo, helmetFeature, single black eye patch on pirate]
-
A.
helmetDesignFeature
chosen
Indicates that one entity is a specific design feature or characteristic incorporated into the design of a helmet.
-
B.
helmetType
Indicates the specific category or style of helmet associated with an entity.
-
C.
helmetMaterial
Indicates the material from which a helmet is made.
-
D.
helmetPolicy
Indicates that there is a rule or requirement governing whether and how helmets must be worn in a given context.
-
E.
helmetLogo
Indicates that one entity serves as the logo or emblem displayed on the helmet 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f423fcc11081909db3b69987693cd7 |
completed | May 1, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:54 a.m.