Triple

T3918419
Position Surface form Disambiguated ID Type / Status
Subject Peter Gelb E88900 entity
Predicate familyName P18 FINISHED
Object Gelb
Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
 E399049 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: Gelb | Statement: [Peter Gelb, familyName, Gelb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gelb
Context triple: [Peter Gelb, familyName, Gelb]
  • A. Yellow
    "Yellow" is a breakthrough 2000 alternative rock song by British band Coldplay, known for its emotive lyrics, atmospheric guitar sound, and role in launching the group to international fame.
  • B. Orange
    Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
  • C. Orange
    Orange was the original name of the town now known as Hillsborough in North Carolina, reflecting its early colonial-era identity.
  • D. Orange
    Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
  • E. Orange
    Orange is a small suburban village in Cuyahoga County, Ohio, known for its residential character and proximity to the Cleveland metropolitan 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: Gelb
Triple: [Peter Gelb, familyName, Gelb]
Generated description
Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gelb
Target entity description: Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
  • A. Yellow
    "Yellow" is a breakthrough 2000 alternative rock song by British band Coldplay, known for its emotive lyrics, atmospheric guitar sound, and role in launching the group to international fame.
  • B. Orange
    Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
  • C. Orange
    Orange was the original name of the town now known as Hillsborough in North Carolina, reflecting its early colonial-era identity.
  • D. Orange
    Orange is a historic town in southeastern France best known for giving its name and origin to the Dutch royal House of Orange-Nassau.
  • E. Orange
    Orange is a small suburban village in Cuyahoga County, Ohio, known for its residential character and proximity to the Cleveland metropolitan 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed59485c819095c58edd053e3401 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5286830d08190bd6e583360136342 completed March 14, 2026, 9:20 a.m.
NEDg Description generation batch_69b5293b41748190929665970712707a completed March 14, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69b529e9080481908ff0ec30b295cfc3 completed March 14, 2026, 9:27 a.m.
Created at: March 9, 2026, 3:22 p.m.