Triple

T14738749
Position Surface form Disambiguated ID Type / Status
Subject Tia Carrere E346285 entity
Predicate spouse P13 FINISHED
Object Simon Wakelin
Simon Wakelin is a British photojournalist and photographer known for his work in entertainment and advertising.
E1117660 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: Simon Wakelin | Statement: [Tia Carrere, spouse, Simon Wakelin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon Wakelin
Context triple: [Tia Carrere, spouse, Simon Wakelin]
  • A. Steve Lawes
    Steve Lawes is a British cinematographer known for his work on film and television productions, including the adaptation of "The Tractate Middoth."
  • B. Andrew Lesnie
    Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
  • C. Nigel Dodds
    Nigel Dodds is a Northern Irish Democratic Unionist Party politician who served as Deputy Leader of the DUP and as Member of Parliament for Belfast North.
  • D. Simon Bisley
    Simon Bisley is a British comic book artist renowned for his dynamic, muscular style and influential work on titles like "Lobo" and "Judge Dredd."
  • E. Michael Nathanson
    Michael Nathanson is a film producer known for his work on major Hollywood movies, including the legal drama "A Time to Kill."
  • 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: Simon Wakelin
Triple: [Tia Carrere, spouse, Simon Wakelin]
Generated description
Simon Wakelin is a British photojournalist and photographer known for his work in entertainment and advertising.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simon Wakelin
Target entity description: Simon Wakelin is a British photojournalist and photographer known for his work in entertainment and advertising.
  • A. Steve Lawes
    Steve Lawes is a British cinematographer known for his work on film and television productions, including the adaptation of "The Tractate Middoth."
  • B. Andrew Lesnie
    Andrew Lesnie was an Australian cinematographer best known for his Oscar-winning work on Peter Jackson’s The Lord of the Rings film trilogy.
  • C. Nigel Dodds
    Nigel Dodds is a Northern Irish Democratic Unionist Party politician who served as Deputy Leader of the DUP and as Member of Parliament for Belfast North.
  • D. Simon Bisley
    Simon Bisley is a British comic book artist renowned for his dynamic, muscular style and influential work on titles like "Lobo" and "Judge Dredd."
  • E. Michael Nathanson
    Michael Nathanson is a film producer known for his work on major Hollywood movies, including the legal drama "A Time to Kill."
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb90378481909a3083680f11101c completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe0105fe8081909be6d790ba18693c completed May 8, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69fe01668bd88190a1db045fdad514ba completed May 8, 2026, 3:29 p.m.
Created at: April 10, 2026, 1:29 a.m.