Triple

T16698313
Position Surface form Disambiguated ID Type / Status
Subject The Big Shot E405776 entity
Predicate screenwriter P2831 FINISHED
Object Martin Rackin E661958 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: Martin Rackin | Statement: [The Big Shot, screenwriter, Martin Rackin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Rackin
Context triple: [The Big Shot, screenwriter, Martin Rackin]
  • A. Martin Rackin chosen
    Martin Rackin was an American screenwriter and film producer known for his work on mid-20th-century Hollywood films.
  • B. Andrew Pyle
    Andrew Pyle is a British philosopher known for his work in the philosophy of science, metaphysics, and the history of early modern philosophy.
  • C. Jack Gariss
    Jack Gariss was an American screenwriter best known for his work on major mid-20th-century Hollywood films, including contributing to the script of Cecil B. DeMille’s epic "The Ten Commandments" (1956).
  • D. Charles Rane
    Charles Rane is the primary terrorist villain in the action film "Passenger 57," known for hijacking a commercial airliner and confronting Wesley Snipes's character.
  • E. Patrick Wymark
    Patrick Wymark was a British character actor known for his powerful screen presence in film, television, and theatre during the 1960s.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919ee61c81909928dd26270e9614 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.