Triple

T14384608
Position Surface form Disambiguated ID Type / Status
Subject The Count of Monte Cristo (1934 film) E356690 entity
Predicate screenwriter P2831 FINISHED
Object Dan Totheroh E689589 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: Dan Totheroh | Statement: [The Count of Monte Cristo (1934 film), screenwriter, Dan Totheroh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Totheroh
Context triple: [The Count of Monte Cristo (1934 film), screenwriter, Dan Totheroh]
  • A. Dan Totheroh chosen
    Dan Totheroh was an American playwright, screenwriter, and occasional actor known for his work in early 20th-century theater and film.
  • B. Eric Danchick
    Eric Danchick is a film producer known for his work on the movie "Bound 2."
  • C. Jim Toth
    Jim Toth is an American talent agent and film producer best known for his work in Hollywood and his former marriage to actress Reese Witherspoon.
  • D. Dan Haggerty
    Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
  • E. Dan Raudabaugh
    Dan Raudabaugh is an American arena football quarterback best known for leading the Philadelphia Soul to multiple championships in the Arena Football League.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9025cff881908c08224d90d9f750 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b3a76ac819088587b9fa560b6dc completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:16 a.m.