Triple

T9212521
Position Surface form Disambiguated ID Type / Status
Subject Roland Totheroh E221158 entity
Predicate relative P37 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: [Roland Totheroh, relative, Dan Totheroh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Totheroh
Context triple: [Roland Totheroh, relative, 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda05406081909893bec3a092d3ce completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1820133348190a25ba1ab3fc7359d completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:27 p.m.