Triple
T18968189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clockwise |
E464096
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Codron |
—
|
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: Michael Codron | Statement: [Clockwise, producer, Michael Codron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Codron Context triple: [Clockwise, producer, Michael Codron]
-
A.
Michael Codron
chosen
Michael Codron is a prominent British theatre producer known for championing new playwrights and staging influential West End productions.
-
B.
Michael Clervoix
Michael Clervoix, better known as Sha Money XL, is an American hip-hop producer and music executive recognized for his influential work with G-Unit and 50 Cent.
-
C.
Paul De Lisle
Paul De Lisle is a Canadian musician best known as the longtime bassist for the rock band Smash Mouth.
-
D.
John Du Prez
John Du Prez is a British composer and musician best known for his film scores and long-running collaboration with the comedy group Monty Python.
-
E.
Michael Nathanson
Michael Nathanson is a film producer known for his work on major Hollywood movies, including the legal drama "A Time to Kill."
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6172888819090a8b3cb1db20496 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon