Triple

T17900874
Position Surface form Disambiguated ID Type / Status
Subject John Lounsbery E447572 entity
Predicate familyName P18 FINISHED
Object Lounsbery
Lounsbery is a surname most notably associated with John Lounsbery, one of Disney’s legendary “Nine Old Men” animators.
E1295645 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: Lounsbery | Statement: [John Lounsbery, familyName, Lounsbery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lounsbery
Context triple: [John Lounsbery, familyName, Lounsbery]
  • A. DuBridge
    DuBridge is the surname of Lee A. DuBridge, an American physicist and former president of the California Institute of Technology.
  • B. Frierson
    Frierson is a surname of likely Scottish or English origin borne by various individuals, including public figures such as American attorney and politician Jason M. Frierson.
  • C. Lovell
    Lovell is an English surname most prominently associated with Sir Bernard Lovell, a pioneering radio astronomer and founder of the Jodrell Bank Observatory.
  • D. Mathison
    Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
  • E. Shaughnessy
    Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
  • 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: Lounsbery
Triple: [John Lounsbery, familyName, Lounsbery]
Generated description
Lounsbery is a surname most notably associated with John Lounsbery, one of Disney’s legendary “Nine Old Men” animators.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lounsbery
Target entity description: Lounsbery is a surname most notably associated with John Lounsbery, one of Disney’s legendary “Nine Old Men” animators.
  • A. DuBridge
    DuBridge is the surname of Lee A. DuBridge, an American physicist and former president of the California Institute of Technology.
  • B. Frierson
    Frierson is a surname of likely Scottish or English origin borne by various individuals, including public figures such as American attorney and politician Jason M. Frierson.
  • C. Lovell
    Lovell is an English surname most prominently associated with Sir Bernard Lovell, a pioneering radio astronomer and founder of the Jodrell Bank Observatory.
  • D. Mathison
    Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
  • E. Shaughnessy
    Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d8321bc8190a3f679d96323cbbb completed April 19, 2026, 9:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b286b088190b6cf9731da839669 completed May 12, 2026, 12:20 p.m.
NEDg Description generation batch_6a031c3658988190b59fa17d616cad9b completed May 12, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a031c9914dc819099da3b2174a5fbc7 completed May 12, 2026, 12:27 p.m.
Created at: April 10, 2026, 10:19 a.m.