Triple

T4452702
Position Surface form Disambiguated ID Type / Status
Subject Tom Dooley E97649 entity
Predicate collectedFrom P10914 FINISHED
Object Frank Proffitt E442538 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: Frank Proffitt | Statement: [Tom Dooley, collectedFrom, Frank Proffitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Proffitt
Context triple: [Tom Dooley, collectedFrom, Frank Proffitt]
  • A. Frank Proffitt chosen
    Frank Proffitt was an American Appalachian folk musician and ballad singer known for preserving and popularizing traditional songs such as "Tom Dooley."
  • B. Joe Noland
    Joe Noland is a fictional character from the television series "The District," which follows the professional and personal lives of law enforcement officials in Washington, D.C.
  • C. Marc McClure
    Marc McClure is an American actor best known for playing Jimmy Olsen in the Superman film series and Dave McFly in the Back to the Future trilogy.
  • D. Curt Menefee
    Curt Menefee is an American sportscaster best known as the longtime studio host of Fox's NFL coverage.
  • E. Jim Hutton
    Jim Hutton was an American actor best known for his lanky, affable screen presence in 1960s comedies and for playing the title role in the TV series "Ellery Queen."
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f49dc081908727af81b886c08d completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6376286e48190906874d67c730dc9 completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:33 p.m.