Triple

T22274183
Position Surface form Disambiguated ID Type / Status
Subject Garde à vue E550557 entity
Predicate distributor P1951 FINISHED
Object AMLF NE NERFINISHED

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: AMLF | Statement: [Garde à vue, distributor, AMLF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AMLF
Context triple: [Garde à vue, distributor, AMLF]
  • A. AMLF chosen
    AMLF is a French film distribution company known for releasing a wide range of domestic and international movies in France.
  • B. Aml
    Aml Ameen is a British actor and filmmaker known for his roles in projects such as "Kidulthood," "The Maze Runner," and the television series "Sense8."
  • C. MLF
    MLF is the Multilateral Fund that finances and supports developing countries in phasing out ozone-depleting substances under the Montreal Protocol.
  • D. MLF
    MLF is the National Rail station code for Milford railway station in Surrey, England.
  • E. ALB
    ALB is the IATA airport code for Albany International Airport serving New York’s capital region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.