Triple

T12436287
Position Surface form Disambiguated ID Type / Status
Subject Benoît Hamon E297151 entity
Predicate familyName P18 FINISHED
Object Hamon
Hamon is a French surname borne by various notable figures, including politicians, artists, and athletes.
 E983684 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: Hamon | Statement: [Benoît Hamon, familyName, Hamon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamon
Context triple: [Benoît Hamon, familyName, Hamon]
  • A. Honjo
    Honjo is a historic district in Tokyo known for its traditional shitamachi atmosphere and close ties to the Sumida River area.
  • B. Hamoaze
    Hamoaze is a tidal estuarial stretch of the River Tamar in southwest England, forming part of Plymouth Sound and serving as an important naval waterway.
  • C. Muye
    Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
  • D. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • E. Erfe
    Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
  • 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: Hamon
Triple: [Benoît Hamon, familyName, Hamon]
Generated description
Hamon is a French surname borne by various notable figures, including politicians, artists, and athletes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hamon
Target entity description: Hamon is a French surname borne by various notable figures, including politicians, artists, and athletes.
  • A. Honjo
    Honjo is a historic district in Tokyo known for its traditional shitamachi atmosphere and close ties to the Sumida River area.
  • B. Hamoaze
    Hamoaze is a tidal estuarial stretch of the River Tamar in southwest England, forming part of Plymouth Sound and serving as an important naval waterway.
  • C. Muye
    Muye was the site of an ancient Chinese battlefield where the Zhou forces decisively overthrew the Shang dynasty.
  • D. Hoan-ya
    Hoan-ya is an alternative name for the Hoanya language, an indigenous Formosan language historically spoken in Taiwan.
  • E. Erfe
    Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f06d16481909ed2eb5195ebd7e4 completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6400fe9888190ae8244ccc8e8bc39 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64168d23881908daee7d7cba2160d completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:55 p.m.