Triple
T25984066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Fame for Great Americans |
E646146
|
entity |
| Predicate | hasBustOf |
P162613
|
FINISHED |
| Object | Benjamin Franklin |
—
|
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: Benjamin Franklin | Statement: [Hall of Fame for Great Americans, hasBustOf, Benjamin Franklin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBustOf Context triple: [Hall of Fame for Great Americans, hasBustOf, Benjamin Franklin]
-
A.
hasBustOf
chosen
Indicates that one entity possesses, displays, or includes a sculpted bust representing another entity.
-
B.
isProminentPartOf
Indicates that something forms a major, highly noticeable, or significant component of a larger whole.
-
C.
bearsOnBreast
Indicates that one entity is depicted or represented as being carried or displayed on the breast or chest area of another entity.
-
D.
hasAreoles
Indicates that one entity possesses or exhibits areoles as a characteristic or feature.
-
E.
mastType
Indicates the specific kind or classification of mast associated with an 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 22, 2026, 8:54 a.m.