Triple

T18797447
Position Surface form Disambiguated ID Type / Status
Subject Jean Behra E459672 entity
Predicate hasFamilyName P18 FINISHED
Object Behra
Behra is a French surname most notably associated with Jean Behra, a prominent mid-20th-century Grand Prix racing driver.
 E1342759 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: Behra | Statement: [Jean Behra, hasFamilyName, Behra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Behra
Context triple: [Jean Behra, hasFamilyName, Behra]
  • A. Boraine
    Boraine is a South African surname most notably associated with Alex Boraine, an anti-apartheid activist and co-founder of the country’s Truth and Reconciliation Commission.
  • B. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • C. Berechias
    Berechias is a male given name of Hebrew origin, often appearing in biblical and rabbinic literature in various transliterated forms.
  • D. Baha
    Baha is a major springtime flower festival of the Santhal community, marked by nature worship, traditional songs, and communal dancing.
  • E. Baha
    Baha is a masculine given name used in Turkish and some other cultures, often derived from Arabic roots meaning "splendor" or "magnificence."
  • 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: Behra
Triple: [Jean Behra, hasFamilyName, Behra]
Generated description
Behra is a French surname most notably associated with Jean Behra, a prominent mid-20th-century Grand Prix racing driver.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Behra
Target entity description: Behra is a French surname most notably associated with Jean Behra, a prominent mid-20th-century Grand Prix racing driver.
  • A. Boraine
    Boraine is a South African surname most notably associated with Alex Boraine, an anti-apartheid activist and co-founder of the country’s Truth and Reconciliation Commission.
  • B. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • C. Berechias
    Berechias is a male given name of Hebrew origin, often appearing in biblical and rabbinic literature in various transliterated forms.
  • D. Baha
    Baha is a major springtime flower festival of the Santhal community, marked by nature worship, traditional songs, and communal dancing.
  • E. Baha
    Baha is a masculine given name used in Turkish and some other cultures, often derived from Arabic roots meaning "splendor" or "magnificence."
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a020821881909749f6a1c6cd195b completed April 20, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05472244488190be57a1bb7d1be5a1 completed May 14, 2026, 3:53 a.m.
NEDg Description generation batch_6a054859b270819081912c2110d30263 completed May 14, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0548f1ed74819090775763f4976a1a completed May 14, 2026, 4 a.m.
Created at: April 10, 2026, 11:53 a.m.