Triple

T14465235
Position Surface form Disambiguated ID Type / Status
Subject Une Saison en enfer E358689 entity
Predicate notableSection P5600 FINISHED
Object Mauvais sang E913224 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: Mauvais sang | Statement: [Une Saison en enfer, notableSection, Mauvais sang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauvais sang
Context triple: [Une Saison en enfer, notableSection, Mauvais sang]
  • A. Mauvais Sang chosen
    Mauvais Sang is a 1986 French neo-noir romantic crime drama film by Leos Carax, noted for its stylized visuals, youthful angst, and innovative use of music and movement.
  • B. Cendres et sang
    Cendres et sang is a French drama film directed by acclaimed actress and filmmaker Fanny Ardant, exploring themes of family, exile, and long-simmering vengeance.
  • C. La malasangre
    La malasangre is a notable dramatic work associated with Argentine actress and director Cristina Banegas.
  • D. Bloods
    Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
  • E. Bloods
    Bloods is a predominantly African-American street gang that originated in Los Angeles and is known for its rivalry with the Crips and its nationwide network of affiliated sets.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f6d4c08190a12e9a5901ee3508 completed April 14, 2026, 7:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6499c7188190a79411b471cfa7d4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.