Triple
T11760171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac and Me |
E279633
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Stewart Raffill |
E952761
|
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: Stewart Raffill | Statement: [Mac and Me, writer, Stewart Raffill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stewart Raffill Context triple: [Mac and Me, writer, Stewart Raffill]
-
A.
Stewart Raffill
chosen
Stewart Raffill is a British-born film director and screenwriter known for his work on science fiction and adventure films, including the cult movie "Mac and Me."
-
B.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
-
C.
Eliot Stannard
Eliot Stannard was a British screenwriter best known for his extensive collaborations with Alfred Hitchcock during the silent film era.
-
D.
Jonathan E. Stewart
Jonathan E. Stewart is a screenwriter and story artist best known for his work on animated feature films, including contributing to the story of Pixar’s "Cars 3."
-
E.
R. J. Stewart
R. J. Stewart is a television writer and producer best known for his work on the fantasy adventure series "Xena: Warrior Princess."
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43f8a57ec8190aded70ae89aa8cf7 |
completed | May 1, 2026, 5:52 a.m. |
Created at: April 8, 2026, 9:41 p.m.