Triple

T5734806
Position Surface form Disambiguated ID Type / Status
Subject François Darlan E126474 entity
Predicate familyName P18 FINISHED
Object Darlan E126474 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: Darlan | Statement: [François Darlan, familyName, Darlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darlan
Context triple: [François Darlan, familyName, Darlan]
  • A. Darlan chosen
    Darlan is a French surname most notably associated with François Darlan, a prominent admiral and political figure in Vichy France during World War II.
  • B. Carlos Lemos
    Carlos Lemos was a Brazilian architect known for his work on prominent modernist projects such as São Paulo’s iconic Copan Building.
  • C. Fernando Cayo
    Fernando Cayo is a Spanish film, television, and stage actor known internationally for roles in works such as the horror film "The Orphanage" and the series "Money Heist."
  • D. Bruno Barreto
    Bruno Barreto is a Brazilian film director known for works such as "Dona Flor and Her Two Husbands" and "Four Days in September."
  • E. Marcelo
    Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02536706c8190a69665b75c8a38e9 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e05a7e08190a79fb43aefdbea6b completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:47 p.m.