Triple

T12438593
Position Surface form Disambiguated ID Type / Status
Subject Without Remorse E297211 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Tom Clancy E434850 NE FINISHED

How this triple was built (2 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 Clancy | Statement: [Without Remorse, authorOfSourceWork, Tom Clancy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Clancy
Context triple: [Without Remorse, authorOfSourceWork, Tom Clancy]
  • A. Tom Clancy chosen
    Tom Clancy was a bestselling American novelist renowned for his detailed military and espionage thrillers such as "The Hunt for Red October" and the Jack Ryan series.
  • B. Tom Clancy
    Tom Clancy was an Irish folk singer best known as a founding member of the influential group The Clancy Brothers, which popularized Irish traditional music internationally in the mid-20th century.
  • C. John Clancy
    John Clancy is a theatre orchestrator best known for his work on the Broadway musical adaptation of "Mean Girls."
  • D. John Clancy
    John Clancy is a leading architect and key figure at the prominent Irish architectural firm Scott Tallon Walker Architects.
  • E. Robert Ludlum
    Robert Ludlum was an American author best known for his fast-paced espionage and thriller novels, including the Jason Bourne series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8dc0f881908a3da736d8947ce1 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f0911a08190ba84a20950762e68 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.