Triple
T7561062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taken |
E178794
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Pierre Morel |
E580760
|
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: Pierre Morel | Statement: [Taken, director, Pierre Morel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierre Morel Context triple: [Taken, director, Pierre Morel]
-
A.
Pierre Morel
chosen
Pierre Morel is a French film director and cinematographer best known for high-octane action movies such as "Taken" and "District 13."
-
B.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
C.
Michel Pinseau
Michel Pinseau was a French architect best known for designing Morocco’s landmark Hassan II Mosque in Casablanca.
-
D.
Jean-Claude Marmier
Jean-Claude Marmier is a French trail-running organizer best known as one of the founders of the prestigious Ultra-Trail du Mont-Blanc mountain ultramarathon.
-
E.
Nicolas Dufourcq
Nicolas Dufourcq is a French business executive known for leading major technology and finance institutions, including serving as chairman of semiconductor company STMicroelectronics.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8f847c48190a1081aa9de7ff945 |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c98564d32881908ebdeb2aa41da4f7 |
completed | March 29, 2026, 8:02 p.m. |
Created at: March 27, 2026, 3:50 p.m.