Triple

T5166257
Position Surface form Disambiguated ID Type / Status
Subject Lyle Talbot E116564 entity
Predicate familyName P18 FINISHED
Object Talbot
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
 E500239 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: Talbot | Statement: [Lyle Talbot, familyName, Talbot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Talbot
Context triple: [Lyle Talbot, familyName, Talbot]
  • A. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • B. Swinton
    Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
  • C. Swinton
    Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
  • D. Thirlby
    Thirlby is the surname of Olivia Thirlby, an American actress known for roles in films such as "Juno" and "Dredd."
  • E. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • 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: Talbot
Triple: [Lyle Talbot, familyName, Talbot]
Generated description
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Talbot
Target entity description: Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
  • A. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • B. Swinton
    Swinton is a small rural village in the historic county of Berwickshire in the Scottish Borders region of Scotland.
  • C. Swinton
    Swinton is a town in the City of Salford, Greater Manchester, England, known historically for its role in the coal mining and textile industries.
  • D. Thirlby
    Thirlby is the surname of Olivia Thirlby, an American actress known for roles in films such as "Juno" and "Dredd."
  • E. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792c5ea88190b6aa0e519c744155 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed93b85188190927d448e09a46425 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedbd301088190908d050425c6cda7 completed March 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69bedc65fcdc8190bc99c0d049e4dd94 completed March 21, 2026, 5:59 p.m.
Created at: March 20, 2026, 1:44 p.m.