Triple

T8996062
Position Surface form Disambiguated ID Type / Status
Subject Bethany Balcer E214914 entity
Predicate givenName P17 FINISHED
Object Bethany
Bethany is a feminine given name of Hebrew origin, commonly associated with the biblical village near Jerusalem.
 E117423 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 Balcer, givenName, Bethany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bethany
Context triple: [Bethany Balcer, givenName, Bethany]
  • A. Bethany
    Bethany is a small city in central Oklahoma that functions largely as a residential suburb of Oklahoma City.
  • B. 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.
  • C. Bethany
    Bethany is a small, rural town in south-central Connecticut known for its open spaces and residential character.
  • D. Bethany
    Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
  • E. Rochelle
    Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
  • 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 Balcer, givenName, Bethany]
Generated description
Bethany is a feminine given name of Hebrew origin, commonly associated with the biblical village near Jerusalem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bethany
Target entity description: Bethany is a feminine given name of Hebrew origin, commonly associated with the biblical village near Jerusalem.
  • A. Bethany chosen
    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. Bethany
    Bethany is the first name of Bethany Hamilton, the American professional surfer known for surviving a shark attack and returning to competitive surfing.
  • D. Bethany
    Bethany is a small city in central Oklahoma that functions largely as a residential suburb of Oklahoma City.
  • E. Rochelle
    Rochelle is the full given name of Chellie Pingree, an American politician serving as a U.S. Representative from Maine.
  • F. None of above.

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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d586c881909090b424f6fd036f completed April 3, 2026, 2:38 p.m.
NEDg Description generation batch_69cfd15c82208190adc11bc6ab1b959b completed April 3, 2026, 2:40 p.m.
NED2 Entity disambiguation (via description) batch_69cfd1eb7f588190a7b7a4ccb48a51d9 completed April 3, 2026, 2:42 p.m.
Created at: March 30, 2026, 7:04 p.m.