Triple

T8872881
Position Surface form Disambiguated ID Type / Status
Subject Tom Gola E211204 entity
Predicate familyName P18 FINISHED
Object Gola
Gola is a surname most notably associated with Tom Gola, a Hall of Fame American basketball player and coach.
 E763151 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: Gola | Statement: [Tom Gola, familyName, Gola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gola
Context triple: [Tom Gola, familyName, Gola]
  • A. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • B. Sangotedo
    Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
  • C. Oenpelli
    Oenpelli is a remote Aboriginal community in Australia’s Northern Territory, known for its rich Indigenous culture and rock art in western Arnhem Land.
  • D. Ghanongga
    Ghanongga is an Oceanic language spoken in the Solomon Islands, particularly in the Western Province.
  • E. Cogua
    Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
  • 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: Gola
Triple: [Tom Gola, familyName, Gola]
Generated description
Gola is a surname most notably associated with Tom Gola, a Hall of Fame American basketball player and coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gola
Target entity description: Gola is a surname most notably associated with Tom Gola, a Hall of Fame American basketball player and coach.
  • A. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • B. Sangotedo
    Sangotedo is a rapidly developing suburban area in the Lekki–Epe corridor of Lagos, Nigeria, known for its growing residential estates and shopping centers.
  • C. Oenpelli
    Oenpelli is a remote Aboriginal community in Australia’s Northern Territory, known for its rich Indigenous culture and rock art in western Arnhem Land.
  • D. Ghanongga
    Ghanongga is an Oceanic language spoken in the Solomon Islands, particularly in the Western Province.
  • E. Cogua
    Cogua is a municipality in the Cundinamarca Department of Colombia, located on the Bogotá savanna north of the capital.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc612952348190856d6964122c3f01 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0f1f1888190a5b514b895e44799 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1ee350881909355371d824ebe3d completed April 3, 2026, 11:18 a.m.
NED2 Entity disambiguation (via description) batch_69cfa26ab1b881909e42a435f4e3333c completed April 3, 2026, 11:20 a.m.
Created at: March 30, 2026, 6:52 p.m.