Triple

T16318029
Position Surface form Disambiguated ID Type / Status
Subject Darrell Waltrip E396221 entity
Predicate givenName P17 FINISHED
Object Darrell
Darrell is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
 E1206996 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: Darrell | Statement: [Darrell Waltrip, givenName, Darrell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Darrell
Context triple: [Darrell Waltrip, givenName, Darrell]
  • A. Darrell
    Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
  • B. Derrel
    Derrel is the given first name of former Major League Baseball shortstop and manager Bud Harrelson.
  • C. Darell
    Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
  • D. Darell
    Darell is a surname most notably associated with characters in Isaac Asimov’s Foundation series, including the psychohistorian Bayta Darell.
  • E. Darryl
    Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
  • 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: Darrell
Triple: [Darrell Waltrip, givenName, Darrell]
Generated description
Darrell is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Darrell
Target entity description: Darrell is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • A. Darrell
    Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
  • B. Derrel
    Derrel is the given first name of former Major League Baseball shortstop and manager Bud Harrelson.
  • C. Darell
    Darell is a surname most notably associated with characters in Isaac Asimov’s Foundation series, including the psychohistorian Bayta Darell.
  • D. Darell
    Darell is a Puerto Rican reggaeton and Latin trap singer and rapper known for his collaborations on major urban Latin hits.
  • E. Darryl
    Darryl is a masculine given name most notably associated with influential American film producer and studio executive Darryl F. Zanuck.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b3e3e081908a996b3e57ca4e32 completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002606f0e0819081f50dae9e6b7a0d completed May 10, 2026, 6:30 a.m.
NEDg Description generation batch_6a00275e44d481909bed62779ea9a0d7 completed May 10, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_6a0027f99d948190b22812f0c9a2c0ff completed May 10, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:06 a.m.