Triple

T12555891
Position Surface form Disambiguated ID Type / Status
Subject de La Clue-Sabran E295214 entity
Predicate nameComponent P5298 FINISHED
Object Sabran
Sabran is a French surname historically associated with several notable aristocratic families and figures.
E990792 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: Sabran | Statement: [de La Clue-Sabran, nameComponent, Sabran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sabran
Context triple: [de La Clue-Sabran, nameComponent, Sabran]
  • A. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • B. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • C. Sabini
    Sabini is the Latin name for the ancient Italic tribe known as the Sabine people, who inhabited central Italy and played a significant role in early Roman history.
  • D. Blawan
    Blawan is a British electronic music producer and DJ known for his dark, industrial-leaning techno and influential releases on labels like Hessle Audio and R&S Records.
  • E. Daura
    Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
  • 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: Sabran
Triple: [de La Clue-Sabran, nameComponent, Sabran]
Generated description
Sabran is a French surname historically associated with several notable aristocratic families and figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sabran
Target entity description: Sabran is a French surname historically associated with several notable aristocratic families and figures.
  • A. Shabara
    Shabara was an early Indian philosopher and commentator best known for his influential exegesis on the Purva Mimamsa school of Hindu philosophy.
  • B. Jabriya
    Jabriya is a residential suburb in Kuwait known for its mix of apartment buildings, schools, and local shops within the Hawalli Governorate.
  • C. Sabini
    Sabini is the Latin name for the ancient Italic tribe known as the Sabine people, who inhabited central Italy and played a significant role in early Roman history.
  • D. Blawan
    Blawan is a British electronic music producer and DJ known for his dark, industrial-leaning techno and influential releases on labels like Hessle Audio and R&S Records.
  • E. Daura
    Daura is a historic town in Katsina State, northern Nigeria, regarded as a cultural center of the Hausa people and known as the hometown of former president Muhammadu Buhari.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95490d2708190857f0cb9b8dd6a30 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655895c9c819082f41e79906567c6 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6599e89708190bc1d38e9702d7626 completed May 2, 2026, 8:07 p.m.
NED2 Entity disambiguation (via description) batch_69f65a414118819095049600f1ad6d63 completed May 2, 2026, 8:10 p.m.
Created at: April 8, 2026, 11:47 p.m.