Triple

T4467022
Position Surface form Disambiguated ID Type / Status
Subject Bethany Hamilton E98403 entity
Predicate givenName P17 FINISHED
Object Bethany
Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
 E442410 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: Bethany | Statement: [Bethany Hamilton, givenName, Bethany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bethany
Context triple: [Bethany Hamilton, givenName, Bethany]
  • A. Bethany
    Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
  • B. Bethany
    Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • C. Medstead
    Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
  • D. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • E. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • 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: Bethany
Triple: [Bethany Hamilton, givenName, Bethany]
Generated description
Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bethany
Target entity description: Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
  • A. Bethany
    Bethany is a village near Jerusalem mentioned in the New Testament, traditionally known as the home of Mary, Martha, and Lazarus and a frequent place visited by Jesus.
  • B. Bethany
    Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • C. Medstead
    Medstead is a rural village in Hampshire, England, known for its countryside setting and traditional English village character.
  • D. Fairview
    Fairview is a residential neighborhood located within the city of Camden, New Jersey.
  • E. Fairview
    Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3569a38e88190a8d590931c4a7c96 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62860151c8190b43465537b154f00 completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b62c3bf15c8190826f93c4c43733e6 completed March 15, 2026, 3:49 a.m.
NED2 Entity disambiguation (via description) batch_69b62cbaef8c8190b5d89a607c76eaf7 completed March 15, 2026, 3:51 a.m.
Created at: March 12, 2026, 11:34 p.m.