Triple

T18419094
Position Surface form Disambiguated ID Type / Status
Subject Samir Bannout E441973 entity
Predicate familyName P18 FINISHED
Object Bannout
Bannout is a Lebanese surname most notably associated with Samir Bannout, a former professional bodybuilder and Mr. Olympia champion.
 E1323835 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: Bannout | Statement: [Samir Bannout, familyName, Bannout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bannout
Context triple: [Samir Bannout, familyName, Bannout]
  • A. Bann
    Bann is an alternative name for the River Bann, one of the longest and most significant rivers in Northern Ireland.
  • B. Bannik
    Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
  • C. Bannalec
    Bannalec is a commune in the Finistère department of Brittany in northwestern France, known for its rural character and Breton cultural heritage.
  • D. Buzenval
    Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
  • E. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • 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: Bannout
Triple: [Samir Bannout, familyName, Bannout]
Generated description
Bannout is a Lebanese surname most notably associated with Samir Bannout, a former professional bodybuilder and Mr. Olympia champion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bannout
Target entity description: Bannout is a Lebanese surname most notably associated with Samir Bannout, a former professional bodybuilder and Mr. Olympia champion.
  • A. Bann
    Bann is an alternative name for the River Bann, one of the longest and most significant rivers in Northern Ireland.
  • B. Bannik
    Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
  • C. Bannalec
    Bannalec is a commune in the Finistère department of Brittany in northwestern France, known for its rural character and Breton cultural heritage.
  • D. Buzenval
    Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
  • E. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a2a0fb08190b409ed200a9d86a6 completed April 19, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f0a633448190880b67ffe4f4e55b completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a03f21c622c81909f34f0d3da0c4491 completed May 13, 2026, 3:38 a.m.
NED2 Entity disambiguation (via description) batch_6a03f356e48c81908d74414b736303a4 completed May 13, 2026, 3:43 a.m.
Created at: April 10, 2026, 10:47 a.m.