Triple
T15673910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitch Glazer |
E377387
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mitch Glazer |
E377387
|
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: Mitch Glazer | Statement: [Mitch Glazer, name, Mitch Glazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitch Glazer Context triple: [Mitch Glazer, name, Mitch Glazer]
-
A.
Mitch Glazer
chosen
Mitch Glazer is an American screenwriter, producer, and director known for his work on films such as "Scrooged" and "The Recruit," as well as for creating the TV series "Magic City."
-
B.
Tim Atack
Tim Atack is a British composer and musician known for his film and television scores, including work on projects like "Cemetery Junction."
-
C.
John Milner
John Milner is a fictional hot-rod enthusiast and central character from the American Graffiti film series, emblematic of 1960s car culture and teenage rebellion.
-
D.
Todd Boehly
Todd Boehly is an American businessman and investor best known as the co-owner and chairman of Chelsea Football Club and co-founder of the investment firm Eldridge Industries.
-
E.
Ian Hendry
Ian Hendry was a British actor known for his versatile film and television roles in the 1960s and 1970s, including a prominent part in the crime thriller "Get Carter."
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6edb12bc8190b2c5558190671ae5 |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:16 a.m.