Triple
T6611458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacques Delors |
E149247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Delors |
E149247
|
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: Delors | Statement: [Jacques Delors, familyName, Delors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delors Context triple: [Jacques Delors, familyName, Delors]
-
A.
Jacques Delors
chosen
Jacques Delors is a French politician and former President of the European Commission who played a key role in advancing European integration and the creation of the euro.
-
B.
Antoine Veil
Antoine Veil was a French civil servant and businessman best known as the husband of prominent politician and Holocaust survivor Simone Veil.
-
C.
Paul Schützenberger
Paul Schützenberger was a 19th-century French chemist known for his work in inorganic and industrial chemistry and for helping shape scientific education in France.
-
D.
Jacques Cresson
Jacques Cresson is best known as the husband of former French Prime Minister Édith Cresson.
-
E.
Michel Crozier
Michel Crozier was a prominent French sociologist best known for his influential work on bureaucracy, organizational analysis, and the dynamics of power and change in modern institutions.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af34d9188190a40f682f985b0bac |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee61df88190b3772e4756670b8f |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 1:57 p.m.