Triple
T8374225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin McClory |
E197534
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kevin McClory |
E197534
|
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: Kevin McClory | Statement: [Kevin McClory, name, Kevin McClory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin McClory Context triple: [Kevin McClory, name, Kevin McClory]
-
A.
Kevin McClory
chosen
Kevin McClory was an Irish screenwriter, producer, and director best known for his long-running legal battles and involvement in the creation and adaptation of the James Bond story "Thunderball."
-
B.
John McEntire
John McEntire is an American drummer, producer, and recording engineer best known for his work with experimental and post-rock bands such as Tortoise and The Sea and Cake.
-
C.
Mike McNeil
Mike McNeil is a software developer best known as the creator of the Sails.js Node.js web framework.
-
D.
Tim McClelland
Tim McClelland is a former Major League Baseball umpire known for his long tenure, distinctive strike zone, and involvement in several high-profile postseason games.
-
E.
Ed McCauley
Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a996ec819083ce2607c0cdab7f |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf422648208190beaa6eaef4173f21 |
completed | April 3, 2026, 4:29 a.m. |
Created at: March 30, 2026, 6:01 p.m.