Triple
T7436236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quest for Fire |
E171622
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Noëlle Boisson |
E33008
|
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: Noëlle Boisson | Statement: [Quest for Fire, editedBy, Noëlle Boisson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noëlle Boisson Context triple: [Quest for Fire, editedBy, Noëlle Boisson]
-
A.
Noëlle Boisson
chosen
Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
-
B.
Nathalie Lorson
Nathalie Lorson is a renowned French master perfumer known for creating numerous successful and influential fragrances for major international brands.
-
C.
Tiphaine Auzière
Tiphaine Auzière is a French lawyer and political figure known both for her legal career and as the daughter of France’s First Lady, Brigitte Macron.
-
D.
Aurélie Charillon
Aurélie Charillon is a French local politician serving as the mayor of the commune of Prévessin-Moëns in eastern France.
-
E.
Aurélie Dupont
Aurélie Dupont is a renowned French ballerina and former étoile of the Paris Opera Ballet who later became the company’s artistic director.
- 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8278670bc819095bdbcc0837b6716 |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:13 p.m.