Triple

T10124528
Position Surface form Disambiguated ID Type / Status
Subject Clear and Present Danger E226177 entity
Predicate authorOfSourceMaterial P2806 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: [Clear and Present Danger, authorOfSourceMaterial, Tom Clancy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Clancy
Context triple: [Clear and Present Danger, authorOfSourceMaterial, 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2ebe4548190a484c145639d92f0 completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc5cb62081908f4725de14916c11 completed April 5, 2026, 8:55 p.m.
Created at: March 30, 2026, 9:05 p.m.