Triple

T8415402
Position Surface form Disambiguated ID Type / Status
Subject Blade Runner E198718 entity
Predicate editedBy P1954 FINISHED
Object Terry Rawlings E194439 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: Terry Rawlings | Statement: [Blade Runner, editedBy, Terry Rawlings]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terry Rawlings
Context triple: [Blade Runner, editedBy, Terry Rawlings]
  • A. Terry Rawlings chosen
    Terry Rawlings was a British film editor renowned for his work on acclaimed films such as "Chariots of Fire," "Alien," and "Blade Runner."
  • B. Terry Grossman
    Terry Grossman is an American physician and longevity expert known for his work in anti-aging medicine and co-authoring books on life extension with futurist Ray Kurzweil.
  • C. Terry Grossman
    Terry Grossman is a television producer best known for his work on the sitcom "The Golden Palace," a spin-off of "The Golden Girls."
  • D. Marion Robertson
    Marion Robertson was the wife of Canadian medical scientist and Nobel laureate Frederick Banting, known for her connection to his pioneering work on insulin.
  • E. Tawny Newsome
    Tawny Newsome is an American actress, comedian, and musician best known for her comedic roles and voice work, including starring in the animated series Star Trek: Lower Decks.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e443a08190983d9a0a61e0f781 completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0333a3488190ba30d03b1d7bacb1 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.