Triple
T22166582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Glazer |
E547802
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Benjamin Glazer |
—
|
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 Glazer | Statement: [Benjamin Glazer, name, Benjamin Glazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Glazer Context triple: [Benjamin Glazer, name, Benjamin Glazer]
-
A.
Benjamin Glazer
chosen
Benjamin Glazer was an Academy Award–winning American screenwriter, producer, and director active during the early decades of Hollywood cinema.
-
B.
Joel Glazer
Joel Glazer is an American businessman and member of the Glazer family who co-owns and helps oversee the operations of Manchester United Football Club.
-
C.
Avram Glazer
Avram Glazer is an American businessman and member of the Glazer family, known for his ownership stake and leadership role in Manchester United Football Club.
-
D.
Bryan Glazer
Bryan Glazer is an American businessman and co-owner of the Tampa Bay Buccaneers NFL franchise and Manchester United Football Club, known for his role in the Glazer family's sports empire.
-
E.
Louis M. Silverstein
Louis M. Silverstein is a film producer known for his work on the comedy movie "Strange Brew."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a3213ec8190841439dbe470d545 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.