Triple

T5717920
Position Surface form Disambiguated ID Type / Status
Subject Daniel Auteuil E126066 entity
Predicate notableWork P4 FINISHED
Object Le Bossu E512884 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: Le Bossu | Statement: [Daniel Auteuil, notableWork, Le Bossu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Bossu
Context triple: [Daniel Auteuil, notableWork, Le Bossu]
  • A. "Le Bossu" chosen
    "Le Bossu" is a popular 19th-century French melodrama, adapted from Paul Féval’s swashbuckling novel and known for its enduring stage and film versions.
  • B. La Rascasse
    La Rascasse is a famous tight right-hand hairpin near the end of the Monaco Grand Prix circuit, known for its low speed and role in overtaking and race-defining incidents.
  • C. Le Pouce
    Le Pouce is a famous oversized bronze sculpture of a human thumb by French artist César Baldaccini, emblematic of his fascination with everyday forms and monumental scale.
  • D. La Bourboule
    La Bourboule is a spa and tourist town in central France, known for its thermal baths and Belle Époque architecture in the Massif Central.
  • E. La Braconne
    La Braconne is a French film featuring actress Rachida Brakni in a prominent role.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e084cc81909a652f7c10d32c32 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a7af5788190827ff8050eb6416d completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:46 p.m.