Triple
T14577271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eric Qualen |
E342085
|
entity |
| Predicate | createdBy |
P806
|
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: [Eric Qualen, createdBy, Michael France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael France Context triple: [Eric Qualen, createdBy, 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.
Daniel Fabre
Daniel Fabre is a French local politician who serves as the mayor of the commune of Ambérieu-en-Bugey in eastern France.
-
C.
Eric Guillon
Eric Guillon is a French animator and filmmaker best known for his creative work on the Despicable Me franchise, including helping shape the iconic look of the Minions.
-
D.
Paul Bonhomme
Paul Bonhomme is a British aerobatic and commercial pilot best known as one of the most successful competitors in the Red Bull Air Race World Championship.
-
E.
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."
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f5ec448190b2ef887fdf7b633e |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ace7da48190880a736ead5c4055 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:24 a.m.