Triple

T5342610
Position Surface form Disambiguated ID Type / Status
Subject He's Just Not That Into You E123977 entity
Predicate cinematographyBy P1953 FINISHED
Object John Bailey E377587 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: John Bailey | Statement: [He's Just Not That Into You, cinematographyBy, John Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bailey
Context triple: [He's Just Not That Into You, cinematographyBy, John Bailey]
  • A. John Bailey chosen
    John Bailey is an American cinematographer renowned for his work on numerous acclaimed films, including the classic comedy "Groundhog Day."
  • B. Harry Robbins
    Harry Robbins "H. R." Haldeman was an American political aide who served as White House Chief of Staff to President Richard Nixon and became a central figure in the Watergate scandal.
  • C. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • D. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • E. Sheldon Hawkes
    Sheldon Hawkes is a brilliant former surgeon turned forensic pathologist and crime scene investigator on the television series CSI: NY.
  • 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_69bd464b07f8819095aa76577c9829e4 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85cc5a9881909e23bf9c5b697a8e completed March 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18cc387c8190a9fe430fe5bb38ce completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2:01 p.m.