Triple
T19710525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bennett Park |
E473331
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Charlie Bennett |
E473331
|
NE 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: Charlie Bennett | Statement: [Bennett Park, namedAfter, Charlie Bennett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Bennett Context triple: [Bennett Park, namedAfter, Charlie Bennett]
-
A.
Charlie Bennett
chosen
Charlie Bennett was a 19th-century American Major League Baseball catcher best known for his defensive skill and for having a Detroit ballpark, Bennett Park, named in his honor.
-
B.
John Bailey
John Bailey is an American singer best known as a member of the R&B and doo-wop vocal group The Clovers.
-
C.
John Bailey
John Bailey is an American cinematographer renowned for his work on numerous acclaimed films, including the classic comedy "Groundhog Day."
-
D.
John Bailey
John Bailey was a British character actor known for his numerous television appearances, including roles in classic "Doctor Who" serials.
-
E.
Jonathan Bennett
Jonathan Bennett is an American actor best known for playing Aaron Samuels in the teen comedy film "Mean Girls."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64407ed208190944ae43b5e44bbdc |
completed | April 20, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab9ea0708190ba465450a31e5aef |
completed | May 15, 2026, 11:26 p.m. |
Created at: April 10, 2026, 1:46 p.m.