Triple

T681951
Position Surface form Disambiguated ID Type / Status
Subject Greg Gumbel E13201 entity
Predicate familyName P18 FINISHED
Object Gumbel
Gumbel is a surname most notably associated with American sportscaster Greg Gumbel.
 E82401 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: Gumbel | Statement: [Greg Gumbel, familyName, Gumbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gumbel
Context triple: [Greg Gumbel, familyName, Gumbel]
  • A. Gibbs
    Gibbs is a common English surname borne by various notable individuals across fields such as sports, science, and entertainment.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Levy
    Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
  • D. Huber
    Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
  • E. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • 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: Gumbel
Triple: [Greg Gumbel, familyName, Gumbel]
Generated description
Gumbel is a surname most notably associated with American sportscaster Greg Gumbel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gumbel
Target entity description: Gumbel is a surname most notably associated with American sportscaster Greg Gumbel.
  • A. Gibbs
    Gibbs is a common English surname borne by various notable individuals across fields such as sports, science, and entertainment.
  • B. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • C. Levy
    Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
  • D. Huber
    Huber is a surname of German origin that is borne by various notable individuals across fields such as science, sports, and the arts.
  • E. Namba
    Namba is a major commercial and entertainment district in Osaka, Japan, known for its bustling nightlife, shopping, and iconic neon-lit streets.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a06f9ee88190a2d757aacd8e3f5b completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a5701c8190810e5e52bc2b61f7 completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5cd8acc888190b9bb80198bce5d00 completed March 2, 2026, 5:48 p.m.
NED2 Entity disambiguation (via description) batch_69a5ce6232e08190a8dba769f173f431 completed March 2, 2026, 5:52 p.m.
Created at: March 1, 2026, 7:36 p.m.