Triple

T7952298
Position Surface form Disambiguated ID Type / Status
Subject Deep Valley E184644 entity
Predicate basedOnWorkAuthor P2806 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: [Deep Valley, basedOnWorkAuthor, Dan Totheroh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Totheroh
Context triple: [Deep Valley, basedOnWorkAuthor, 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. 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."
  • D. 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.
  • E. Dan Pfeiffer
    Dan Pfeiffer is an American political strategist and former White House communications director who served as a senior adviser to President Barack Obama.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5c95908190b6ee900d2b324574 completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd672cb3288190af4f951e65e8d67e completed April 1, 2026, 6:42 p.m.
Created at: March 30, 2026, 5:10 p.m.