Triple
T14431510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All the Right Moves |
E357839
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Michael Kane |
E357839
|
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: Michael Kane | Statement: [All the Right Moves, screenwriter, Michael Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kane Context triple: [All the Right Moves, screenwriter, Michael Kane]
-
A.
Michael Kane
chosen
Michael Kane is a screenwriter best known for writing the 1983 American sports drama film "All the Right Moves."
-
B.
Michael Kane
Michael Kane is a creator known for developing the character Stefen Djordjevic.
-
C.
Michael Jace
Michael Jace is an American actor best known for his role as LAPD Officer Julien Lowe on the television series "The Shield."
-
D.
Vic Morrow
Vic Morrow was an American actor best known for his role in the television series "Combat!" and for his tragic death in a helicopter accident during the filming of "Twilight Zone: The Movie."
-
E.
Seymour Cassel
Seymour Cassel was an American character actor known for his longtime collaboration with director John Cassavetes and his roles in numerous independent and mainstream films.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a254f881908d9494d4602064ae |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:18 a.m.