Triple

T5830941
Position Surface form Disambiguated ID Type / Status
Subject Bobby Driscoll E129342 entity
Predicate familyName P18 FINISHED
Object Driscoll
Driscoll is a surname most notably associated with American child actor Bobby Driscoll, known for his work with Disney in the mid-20th century.
 E547951 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: Driscoll | Statement: [Bobby Driscoll, familyName, Driscoll]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Driscoll
Context triple: [Bobby Driscoll, familyName, Driscoll]
  • A. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • B. Considine
    Considine is a surname of Irish origin borne by various notable individuals in fields such as politics, entertainment, and sports.
  • C. Welch
    Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
  • D. Steenbock
    Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
  • E. Carlson
    Carlson is a common surname of Scandinavian origin borne by numerous notable individuals across fields such as sports, politics, and entertainment.
  • 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: Driscoll
Triple: [Bobby Driscoll, familyName, Driscoll]
Generated description
Driscoll is a surname most notably associated with American child actor Bobby Driscoll, known for his work with Disney in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Driscoll
Target entity description: Driscoll is a surname most notably associated with American child actor Bobby Driscoll, known for his work with Disney in the mid-20th century.
  • A. Dunnigan
    Dunnigan is a small unincorporated community in Yolo County, California, known primarily as a rural agricultural area along Interstate 5.
  • B. Considine
    Considine is a surname of Irish origin borne by various notable individuals in fields such as politics, entertainment, and sports.
  • C. Welch
    Welch is a small city in southern West Virginia known historically as a coal-mining community and the county seat of McDowell County.
  • D. Steenbock
    Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
  • E. Carlson
    Carlson is a common surname of Scandinavian origin borne by numerous notable individuals across fields such as sports, politics, and entertainment.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346ac31c8190bbd28444f75da875 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09866fd248190b4248a993051b732 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c0995672f08190acce2a14266ccf6a completed March 23, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c099fefd6c8190ae1b4480ef133f02 completed March 23, 2026, 1:40 a.m.
Created at: March 22, 2026, 3:54 p.m.