Triple

T1167848
Position Surface form Disambiguated ID Type / Status
Subject Relentless: A Memoir E24840 entity
Predicate author P4 FINISHED
Object Tom E. Curran
Tom E. Curran is an author best known for writing the memoir "Relentless," in which he reflects on his life experiences and personal journey.
E224150 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: Tom E. Curran | Statement: [Relentless: A Memoir, author, Tom E. Curran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom E. Curran
Context triple: [Relentless: A Memoir, author, Tom E. Curran]
  • A. Tony Geraghty
    Tony Geraghty was a member of the popular Irish cabaret group the Miami Showband who was killed in the notorious 1975 loyalist paramilitary attack in Northern Ireland.
  • B. Rob McKenna
    Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
  • C. Rob McKenna
    Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
  • D. Michael Callaghan
    Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
  • E. Michael McCusker
    Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
  • 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: Tom E. Curran
Triple: [Relentless: A Memoir, author, Tom E. Curran]
Generated description
Tom E. Curran is an author best known for writing the memoir "Relentless," in which he reflects on his life experiences and personal journey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tom E. Curran
Target entity description: Tom E. Curran is an author best known for writing the memoir "Relentless," in which he reflects on his life experiences and personal journey.
  • A. Tony Geraghty
    Tony Geraghty was a member of the popular Irish cabaret group the Miami Showband who was killed in the notorious 1975 loyalist paramilitary attack in Northern Ireland.
  • B. Rob McKenna
    Rob McKenna is an American attorney and politician best known for serving as the Attorney General of Washington State.
  • C. Rob McKenna
    Rob McKenna is a perpetually rain-plagued lorry driver in Douglas Adams' "So Long, and Thanks for All the Fish," humorously revealed to be a Rain God unknowingly worshipped by clouds.
  • D. Michael Callaghan
    Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
  • E. Michael McCusker
    Michael McCusker is an American film editor known for his work on major Hollywood productions, including the thriller "The Girl on the Train" (2016).
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bccef84481908864e819884af86c completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae0a966a6c81909d1d21c489340134 completed March 8, 2026, 11:47 p.m.
NEDg Description generation batch_69ae0b15a1dc81908dfa980e86585673 completed March 8, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_69ae0b9e7c64819093461c74b98e48ca completed March 8, 2026, 11:51 p.m.
Created at: March 1, 2026, 7:45 p.m.