Triple

T12896926
Position Surface form Disambiguated ID Type / Status
Subject Margaux Hemingway E308517 entity
Predicate appearedInPublication P65153 FINISHED
Object Elle E39387 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: Elle | Statement: [Margaux Hemingway, appearedInPublication, Elle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elle
Context triple: [Margaux Hemingway, appearedInPublication, Elle]
  • A. Elle chosen
    Elle is a globally recognized fashion and lifestyle magazine known for its coverage of style, beauty, culture, and celebrity features.
  • B. Elle
    Elle is the solitary female protagonist of Francis Poulenc’s one-act opera *La voix humaine*, whose intense telephone monologue lays bare her emotional collapse during a breakup.
  • C. Elle (2016 film)
    Elle is a 2016 French psychological thriller film directed by Paul Verhoeven, starring Isabelle Huppert as a successful businesswoman who seeks to track down the man who assaulted her.
  • D. Amour
    *Amour* is a poetry collection by French Symbolist poet Paul Verlaine, reflecting his characteristic musicality, emotional nuance, and exploration of love and spirituality.
  • E. Amour
    Amour is a critically acclaimed 2012 French-language drama film directed by Michael Haneke that portrays an elderly couple’s struggle with illness and the limits of love and dignity.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc53060819090a126f15428e411 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55f98c08190b8910b1443841fa7 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.