Triple
T18943740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finding Steve McQueen |
E463452
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Mark Steven Johnson |
—
|
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: Mark Steven Johnson | Statement: [Finding Steve McQueen, director, Mark Steven Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Steven Johnson Context triple: [Finding Steve McQueen, director, Mark Steven Johnson]
-
A.
Mark Steven Johnson
chosen
Mark Steven Johnson is an American screenwriter and director best known for writing and directing films such as "Grumpy Old Men," "Daredevil," and "Ghost Rider."
-
B.
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
-
C.
Ken Turkin
Ken Turkin is a musician best known as a member of the American garage rock band The Shadows of Knight.
-
D.
Joseph Kahn
Joseph Kahn is an American journalist who serves as the executive editor of The New York Times and is known for his leadership in global and investigative reporting.
-
E.
Joseph Kahn
Joseph Kahn is a prominent American music video and film director known for his visually dynamic, high-concept work with major pop and hip-hop artists.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3ed847c8190a911a61673608a5c |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.