Triple

T8152810
Position Surface form Disambiguated ID Type / Status
Subject Sarah Bernhardt E190369 entity
Predicate child P120 FINISHED
Object Maurice Bernhardt E744482 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: Maurice Bernhardt | Statement: [Sarah Bernhardt, child, Maurice Bernhardt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice Bernhardt
Context triple: [Sarah Bernhardt, child, Maurice Bernhardt]
  • A. Maurice Bernhardt chosen
    Maurice Bernhardt was the son of famed French actress Sarah Bernhardt and a French writer and playwright in his own right.
  • B. Maurice Benard
    Maurice Benard is an American actor best known for his long-running role as Sonny Corinthos on the soap opera "General Hospital."
  • C. Maurice Leven
    Maurice Leven was a French academic and entrepreneur best known as one of the founders of ESSEC Business School, a leading institution of higher education in management.
  • D. Gerard Gordeau
    Gerard Gordeau is a Dutch Savate and Kyokushin karate fighter best known as a finalist in the inaugural UFC tournament and for his controversial, highly aggressive fighting style.
  • E. Paul Meurice
    Paul Meurice was a 19th-century French novelist and playwright, closely associated with Victor Hugo and known for his contributions to Romantic literature and theater.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d4494c8190aad2ee302e90670f completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cebb1519048190bf3060a8c649cb9b completed April 2, 2026, 6:53 p.m.
Created at: March 30, 2026, 5:37 p.m.