Triple
T5055643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GoldenEye |
E113895
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Michael France |
E296910
|
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 France | Statement: [GoldenEye, storyBy, Michael France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael France Context triple: [GoldenEye, storyBy, Michael France]
-
A.
Michael France
chosen
Michael France was an American screenwriter best known for writing high-profile action and superhero films, including the Sylvester Stallone thriller "Cliffhanger."
-
B.
Olivier Martinez
Olivier Martinez is a French actor known for his roles in films such as "Unfaithful," "Before Night Falls," and "S.W.A.T."
-
C.
Phil Méheux
Phil Méheux is a British cinematographer known for his work on major films including James Bond entries like "GoldenEye" and "Casino Royale."
-
D.
David Madel
David Madel is a British Conservative politician who served as a Member of Parliament from the 1970s until the late 1990s.
-
E.
Jim France
Jim France is an American motorsports executive and member of the France family who serves as the current leader of NASCAR.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd744e45588190beaa2f96bb2f41e2 |
completed | March 20, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea489eb4c8190ad3a5480b909ef70 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:38 p.m.