Triple

T3771987
Position Surface form Disambiguated ID Type / Status
Subject Black Sunday E83218 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Thomas Harris E125454 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: Thomas Harris | Statement: [Black Sunday, authorOfSourceWork, Thomas Harris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Harris
Context triple: [Black Sunday, authorOfSourceWork, Thomas Harris]
  • A. Thomas Harris chosen
    Thomas Harris is an American novelist best known for creating the character Hannibal Lecter in his series of psychological horror thrillers.
  • B. Patricia Cornwell
    Patricia Cornwell is an American crime writer best known for her bestselling Kay Scarpetta series of forensic thrillers.
  • C. Michael Connelly
    Michael Connelly is a bestselling American crime fiction author best known for his Harry Bosch and Lincoln Lawyer series.
  • D. David Morrell
    David Morrell is a Canadian-American novelist best known for creating the character John Rambo in his debut novel "First Blood."
  • E. Thomas Ripley
    Thomas Ripley was an 18th-century English architect and master carpenter known for his work on prominent country houses and public buildings, including contributions to Palladian architecture.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc3219b881908a2f82126f9a679d completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e52bb2d08190b457dd517ff366d7 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.