Triple

T5006674
Position Surface form Disambiguated ID Type / Status
Subject Lionel Pincus E112512 entity
Predicate familyName P18 FINISHED
Object Pincus
Pincus is a surname most notably associated with Lionel Pincus, an influential American financier and co-founder of the private equity firm Warburg Pincus.
 E487319 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: Pincus | Statement: [Lionel Pincus, familyName, Pincus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pincus
Context triple: [Lionel Pincus, familyName, Pincus]
  • A. Pinsker
    Pinsker is a Jewish surname most notably associated with Leo Pinsker, a 19th-century physician and early Zionist activist.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Finkelstein
    Finkelstein is a Jewish surname of German and Yiddish origin, commonly associated with families of Central and Eastern European descent.
  • D. Parnes
    Parnes is a mountain in Greece traditionally associated with the ancient Greek personifications of mountains known as the Ourea.
  • E. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • 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: Pincus
Triple: [Lionel Pincus, familyName, Pincus]
Generated description
Pincus is a surname most notably associated with Lionel Pincus, an influential American financier and co-founder of the private equity firm Warburg Pincus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pincus
Target entity description: Pincus is a surname most notably associated with Lionel Pincus, an influential American financier and co-founder of the private equity firm Warburg Pincus.
  • A. Pinsker
    Pinsker is a Jewish surname most notably associated with Leo Pinsker, a 19th-century physician and early Zionist activist.
  • B. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • C. Finkelstein
    Finkelstein is a Jewish surname of German and Yiddish origin, commonly associated with families of Central and Eastern European descent.
  • D. Parnes
    Parnes is a mountain in Greece traditionally associated with the ancient Greek personifications of mountains known as the Ourea.
  • E. Menzel
    Menzel is the surname of Idina Menzel, the American actress and singer best known for her roles in Broadway musicals and the film "Frozen."
  • 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72e75db88190bccb30b93638a7a4 completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9261ef088190a012d55294b9e3c2 completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be945736d0819097e26ad90d6f9813 completed March 21, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69be94d3578c81909e8139f253e26d69 completed March 21, 2026, 12:53 p.m.
Created at: March 20, 2026, 1:35 p.m.