Triple
T7354928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grumpy Old Men |
E169597
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | Mark Steven Johnson |
E658648
|
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: Mark Steven Johnson | Statement: [Grumpy Old Men, screenplayBy, Mark Steven Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Steven Johnson Context triple: [Grumpy Old Men, screenplayBy, 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.
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.
-
D.
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.
-
E.
James LoMenzo
James LoMenzo is an American bassist best known for his work with heavy metal bands such as Megadeth, White Lion, and Black Label Society.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f10e71fc81909307ca39a61142d3 |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b490cc8190bbbaf7825e293566 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 27, 2026, 3:05 p.m.