Triple

T9997209
Position Surface form Disambiguated ID Type / Status
Subject Francesca Hayward E197230 entity
Predicate familyName P18 FINISHED
Object Hayward
Hayward is a surname shared by various notable individuals across fields such as the arts, sports, and public life.
E834633 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: Hayward | Statement: [Francesca Hayward, familyName, Hayward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayward
Context triple: [Francesca Hayward, familyName, Hayward]
  • A. Hayward
    Hayward is a mid-sized city in the San Francisco Bay Area known for its diverse population, industrial and logistics hubs, and role as a transportation crossroads in Alameda County.
  • B. Atherton
    Atherton is an affluent residential town in San Mateo County, California, known for its large estates and high property values.
  • C. Atherton
    Atherton is a small town in Queensland, Australia, known as a service and commercial hub for the surrounding Atherton Tablelands agricultural region.
  • D. Atherton
    Atherton is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage and residential communities.
  • E. Redlands
    Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
  • 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: Hayward
Triple: [Francesca Hayward, familyName, Hayward]
Generated description
Hayward is a surname shared by various notable individuals across fields such as the arts, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hayward
Target entity description: Hayward is a surname shared by various notable individuals across fields such as the arts, sports, and public life.
  • A. Hayward
    Hayward is a mid-sized city in the San Francisco Bay Area known for its diverse population, industrial and logistics hubs, and role as a transportation crossroads in Alameda County.
  • B. Atherton
    Atherton is an affluent residential town in San Mateo County, California, known for its large estates and high property values.
  • C. Atherton
    Atherton is a small town in Queensland, Australia, known as a service and commercial hub for the surrounding Atherton Tablelands agricultural region.
  • D. Atherton
    Atherton is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage and residential communities.
  • E. Redlands
    Redlands is a historic city in Southern California known for its citrus-growing heritage, Victorian architecture, and role as an educational and cultural hub in the Inland Empire.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2583bd6948190b15a97187e81d958 completed April 5, 2026, 12:40 p.m.
NEDg Description generation batch_69d2594b5e5081908f7cc4af4d10b4a8 completed April 5, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_69d25a30ad98819084dcd305e709c34d completed April 5, 2026, 12:48 p.m.
Created at: March 30, 2026, 8:51 p.m.