Triple

T15691986
Position Surface form Disambiguated ID Type / Status
Subject Elle Driver E380352 entity
Predicate alias P39 FINISHED
Object Elle
Elle is the codename of Elle Driver, a deadly one-eyed assassin from Quentin Tarantino’s Kill Bill films.
E1170770 NE FINISHED

How this triple was built (4 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: [Elle Driver, alias, Elle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elle
Context triple: [Elle Driver, alias, Elle]
  • A. Elle
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Elle
Triple: [Elle Driver, alias, Elle]
Generated description
Elle is the codename of Elle Driver, a deadly one-eyed assassin from Quentin Tarantino’s Kill Bill films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elle
Target entity description: Elle is the codename of Elle Driver, a deadly one-eyed assassin from Quentin Tarantino’s Kill Bill films.
  • A. Elle
    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 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.
  • E. Amour
    *Amour* is a poetry collection by French Symbolist poet Paul Verlaine, reflecting his characteristic musicality, emotional nuance, and exploration of love and spirituality.
  • F. None of above. chosen

Provenance (5 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 completed May 9, 2026, 5:29 p.m.
NEDg Description generation batch_69ff6fb61144819085460226d406161d completed May 9, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff705b1ea08190bf08b99c19715e57 completed May 9, 2026, 5:35 p.m.
Created at: April 10, 2026, 4:44 a.m.