Triple

T1820879
Position Surface form Disambiguated ID Type / Status
Subject On the Town E40535 entity
Predicate notableCharacter P1481 FINISHED
Object Hildy
Hildy is a brash, fast-talking New York City taxi driver and one of the central comic female leads in the musical "On the Town."
 E202823 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: Hildy | Statement: [On the Town, notableCharacter, Hildy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hildy
Context triple: [On the Town, notableCharacter, Hildy]
  • A. Hildy Beyeler
    Hildy Beyeler is a Swiss art patron known for co-founding the renowned Beyeler Foundation Museum, which houses one of Europe’s leading collections of modern and contemporary art.
  • B. Doris
    Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
  • C. Doris
    Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
  • D. Edie
    Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
  • E. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • 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: Hildy
Triple: [On the Town, notableCharacter, Hildy]
Generated description
Hildy is a brash, fast-talking New York City taxi driver and one of the central comic female leads in the musical "On the Town."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hildy
Target entity description: Hildy is a brash, fast-talking New York City taxi driver and one of the central comic female leads in the musical "On the Town."
  • A. Hildy Beyeler
    Hildy Beyeler is a Swiss art patron known for co-founding the renowned Beyeler Foundation Museum, which houses one of Europe’s leading collections of modern and contemporary art.
  • B. Doris
    Doris is an Oceanid from Greek mythology, known as the wife of the sea god Nereus and mother of the Nereids.
  • C. Doris
    Doris was the first wife of Herod the Great and the mother of his son Antipater in the Herodian royal family.
  • D. Edie
    Edie is a 2017 British drama film starring Sheila Hancock as an elderly woman who embarks on a life-changing mountain-climbing adventure in the Scottish Highlands.
  • E. Lucille
    "Lucille" is a 1977 country song by Kenny Rogers that became one of his signature hits and a classic of the genre.
  • 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_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa662a13208190b4126d92c613760d completed March 6, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf6526f88190907de68a5344a084 completed March 8, 2026, 6:26 p.m.
NEDg Description generation batch_69adbff32038819088dffc71e8376821 completed March 8, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69adc084c9b88190a0d53f5c7c459611 completed March 8, 2026, 6:31 p.m.
Created at: March 4, 2026, 7:32 p.m.