Triple

T1790907
Position Surface form Disambiguated ID Type / Status
Subject The Last Duel E39491 entity
Predicate editedBy P1954 FINISHED
Object Claire Simpson
Claire Simpson is an acclaimed British film editor known for her work on major feature films, including the historical drama "The Last Duel."
E261254 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: Claire Simpson | Statement: [The Last Duel, editedBy, Claire Simpson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire Simpson
Context triple: [The Last Duel, editedBy, Claire Simpson]
  • A. Clare Douglas
    Clare Douglas is a film editor known for her work on the British television drama "Gideon's Daughter."
  • B. Claire Craig
    Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
  • C. Amanda Clifton
    Amanda Clifton is an American sports executive and advocate best known as the wife of WNBA star Elena Delle Donne and for her work promoting women’s basketball and LGBTQ+ visibility.
  • D. Claire Louise
    Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
  • E. Clare Wise
    Clare Wise is a British professional known primarily as the sister of actor Greg Wise and for her work in the arts and charitable sectors.
  • 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: Claire Simpson
Triple: [The Last Duel, editedBy, Claire Simpson]
Generated description
Claire Simpson is an acclaimed British film editor known for her work on major feature films, including the historical drama "The Last Duel."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Claire Simpson
Target entity description: Claire Simpson is an acclaimed British film editor known for her work on major feature films, including the historical drama "The Last Duel."
  • A. Clare Douglas
    Clare Douglas is a film editor known for her work on the British television drama "Gideon's Daughter."
  • B. Claire Craig
    Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
  • C. Amanda Clifton
    Amanda Clifton is an American sports executive and advocate best known as the wife of WNBA star Elena Delle Donne and for her work promoting women’s basketball and LGBTQ+ visibility.
  • D. Claire Louise
    Claire Louise was the wife of American film actor Robert Armstrong, best known for his role in the classic movie "King Kong."
  • E. Clare Wise
    Clare Wise is a British professional known primarily as the sister of actor Greg Wise and for her work in the arts and charitable sectors.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6512804c8190a5743c10bd37f83f completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8367a288190ac4dcd2f06505982 completed March 9, 2026, 11 a.m.
NEDg Description generation batch_69aeabf0b5608190a8c90a3af3d6ea1e completed March 9, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69aead0002508190863cb78497307b8a completed March 9, 2026, 11:20 a.m.
Created at: March 4, 2026, 7:32 p.m.