Triple

T22976621
Position Surface form Disambiguated ID Type / Status
Subject Daniel Woodrell E571337 entity
Predicate familyName P18 FINISHED
Object Woodrell
Woodrell is the surname of American novelist Daniel Woodrell, known for his gritty "country noir" fiction set in the Missouri Ozarks.
E1564753 NE FINISHED

How this triple was built (4 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: Woodrell | Statement: [Daniel Woodrell, familyName, Woodrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woodrell
Context triple: [Daniel Woodrell, familyName, Woodrell]
  • A. Worrell
    Worrell is a surname most notably associated with former Major League Baseball relief pitcher Todd Worrell.
  • B. Worrell
    Worrell is the middle name of Sir Hugh Springer, a prominent Barbadian statesman and former Governor-General of Barbados.
  • C. Woodall
    Woodall is a masculine given name most notably associated with American lawyer and civic leader Woodall Rodgers, a former mayor of Dallas, Texas.
  • D. Wachholz
    Wachholz is a German surname most notably associated with the popular East German singer Bärbel Wachholz.
  • E. Lyles
    Lyles is the surname of American sprinting star Noah Lyles, a multiple world champion and Olympic medalist in track and field.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Woodrell
Triple: [Daniel Woodrell, familyName, Woodrell]
Generated description
Woodrell is the surname of American novelist Daniel Woodrell, known for his gritty "country noir" fiction set in the Missouri Ozarks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Woodrell
Target entity description: Woodrell is the surname of American novelist Daniel Woodrell, known for his gritty "country noir" fiction set in the Missouri Ozarks.
  • A. Worrell
    Worrell is a surname most notably associated with former Major League Baseball relief pitcher Todd Worrell.
  • B. Worrell
    Worrell is the middle name of Sir Hugh Springer, a prominent Barbadian statesman and former Governor-General of Barbados.
  • C. Woodall
    Woodall is a masculine given name most notably associated with American lawyer and civic leader Woodall Rodgers, a former mayor of Dallas, Texas.
  • D. Wachholz
    Wachholz is a German surname most notably associated with the popular East German singer Bärbel Wachholz.
  • E. Lyles
    Lyles is the surname of American sprinting star Noah Lyles, a multiple world champion and Olympic medalist in track and field.
  • F. None of above. chosen

Provenance (5 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182369b548190a6630655a6e0bb39 completed April 29, 2026, 3:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd36f73a48190ba07a754949e2e40 completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd41c89708190a3df2a798ca25c99 completed May 19, 2026, 3:08 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd5263734819082ce8b1c3082243f completed May 19, 2026, 3:12 a.m.
Created at: April 17, 2026, 3:48 p.m.