Triple

T12043077
Position Surface form Disambiguated ID Type / Status
Subject She Wants Me E286712 entity
Predicate editor P1954 FINISHED
Object Steven Ansell
Steven Ansell is a film editor known for his work on the feature film "She Wants Me."
E972562 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: Steven Ansell | Statement: [She Wants Me, editor, Steven Ansell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Ansell
Context triple: [She Wants Me, editor, Steven Ansell]
  • A. Jay Anson
    Jay Anson was an American author best known for writing the purportedly true horror book "The Amityville Horror," which became a cultural phenomenon and inspired a long-running film franchise.
  • B. Andrew Rennison
    Andrew Rennison is a British public official known for serving as the inaugural Surveillance Camera Commissioner, overseeing the regulation and ethical use of CCTV and related surveillance technologies in the UK.
  • C. Mark Stott
    Mark Stott is a British businessman and property developer best known as the owner and chairman of Stockport County Football Club.
  • D. Michael Bradsell
    Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
  • E. Michael Bradsell
    Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
  • 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: Steven Ansell
Triple: [She Wants Me, editor, Steven Ansell]
Generated description
Steven Ansell is a film editor known for his work on the feature film "She Wants Me."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steven Ansell
Target entity description: Steven Ansell is a film editor known for his work on the feature film "She Wants Me."
  • A. Jay Anson
    Jay Anson was an American author best known for writing the purportedly true horror book "The Amityville Horror," which became a cultural phenomenon and inspired a long-running film franchise.
  • B. Andrew Rennison
    Andrew Rennison is a British public official known for serving as the inaugural Surveillance Camera Commissioner, overseeing the regulation and ethical use of CCTV and related surveillance technologies in the UK.
  • C. Mark Stott
    Mark Stott is a British businessman and property developer best known as the owner and chairman of Stockport County Football Club.
  • D. Michael Bradsell
    Michael Bradsell is a British film editor known for his work on notable films including Kenneth Branagh’s adaptation of "Henry V" (1989).
  • E. Michael Bradsell
    Michael Bradsell is a British science fiction editor best known for his work on the magazine Jabberwocky.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a613054819082f7900a6ba8fbf8 completed May 2, 2026, 2:29 p.m.
NEDg Description generation batch_69f60d8456d881908b5647b77fc53780 completed May 2, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69f60e2c52b0819094c8e67286235400 completed May 2, 2026, 2:46 p.m.
Created at: April 8, 2026, 9:47 p.m.