Triple

T12990199
Position Surface form Disambiguated ID Type / Status
Subject Thomas N'Kono E321882 entity
Predicate givenName P17 FINISHED
Object Thomas
Thomas is the given name of Thomas N'Kono, a renowned Cameroonian former football goalkeeper and coach.
E1017960 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: Thomas | Statement: [Thomas N'Kono, givenName, Thomas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas
Context triple: [Thomas N'Kono, givenName, Thomas]
  • A. Thomas
    Thomas, also known as Doubting Thomas, is one of the Twelve Apostles of Jesus in the New Testament, remembered for initially doubting Jesus’ resurrection until he saw and touched Christ’s wounds.
  • B. Thomas
    Thomas is the first name of American country music songwriter and recording artist Thom Schuyler.
  • C. Thomas
    Thomas is the given name of Thomas Edwards, an English literary critic and poet known for his 18th-century work "The Canons of Criticism."
  • D. Thomas
    Thomas is the middle name of the individual Samuel Thomas Wilson.
  • E. Thomas
    Thomas Einstein is an American anesthesiologist and great-grandson of physicist Albert Einstein.
  • 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: Thomas
Triple: [Thomas N'Kono, givenName, Thomas]
Generated description
Thomas is the given name of Thomas N'Kono, a renowned Cameroonian former football goalkeeper and coach.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thomas
Target entity description: Thomas is the given name of Thomas N'Kono, a renowned Cameroonian former football goalkeeper and coach.
  • A. Thomas
    Thomas is the full given name of Tom Thibodeau, an American professional basketball coach known for his defensive-minded teams in the NBA.
  • B. Thomas
    Thomas is the given name of Tom Mboya, a prominent Kenyan trade unionist, independence leader, and politician.
  • C. Thomas
    Thomas is the given name of Tom Gola, a Hall of Fame American basketball player and coach known for his collegiate and professional success in the mid-20th century.
  • D. Thomas
    Thomas is the formal given name of Tom Coughlin, the American football coach best known for leading the New York Giants to two Super Bowl victories.
  • E. Thomas
    Thomas is the full given name of Tom Brady, the legendary NFL quarterback widely regarded as one of the greatest players in American football history.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e75b9f88190a54372c2a1223a4e completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbbf0fb08190aeb1697714942c2b completed May 3, 2026, 4:14 a.m.
NEDg Description generation batch_69f6cd706f548190af79efa973434af9 completed May 3, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69f6ce2c7630819091433543dfdf8402 completed May 3, 2026, 4:25 a.m.
Created at: April 9, 2026, 8:43 p.m.