Triple

T645371
Position Surface form Disambiguated ID Type / Status
Subject Lindsey Horan E11229 entity
Predicate familyName P18 FINISHED
Object Horan
Horan is a surname most prominently associated with American soccer player Lindsey Horan.
 E87237 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: Horan | Statement: [Lindsey Horan, familyName, Horan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Horan
Context triple: [Lindsey Horan, familyName, Horan]
  • A. Lorne
    Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
  • B. Langon
    Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
  • C. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • D. Guilfoyle
    Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
  • E. Hale
    Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
  • 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: Horan
Triple: [Lindsey Horan, familyName, Horan]
Generated description
Horan is a surname most prominently associated with American soccer player Lindsey Horan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Horan
Target entity description: Horan is a surname most prominently associated with American soccer player Lindsey Horan.
  • A. Lorne
    Lorne is a masculine given name most notably associated with Canadian-American television producer and "Saturday Night Live" creator Lorne Michaels.
  • B. Langon
    Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
  • C. Bladon
    Bladon is a village in Oxfordshire, England, best known as the burial place of Sir Winston Churchill.
  • D. Guilfoyle
    Guilfoyle is a surname most prominently associated in contemporary American culture with television personality and political figure Kimberly Guilfoyle.
  • E. Hale
    Hale is a village and civil parish in the Metropolitan Borough of Trafford, Greater Manchester, England, known for its affluent residential character and proximity to Altrincham.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f19f9a08190b0bf6e19b32427ff completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a4d77e0819098cdd416136fd374 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64af942008190b1de8991f642f32c completed March 3, 2026, 2:44 a.m.
NED2 Entity disambiguation (via description) batch_69a64b80d5fc81909e69832457569064 completed March 3, 2026, 2:46 a.m.
Created at: March 1, 2026, 7:36 p.m.