Triple

T14969172
Position Surface form Disambiguated ID Type / Status
Subject Tina Lawson E373270 entity
Predicate familyName P18 FINISHED
Object Beyincé E247032 NE FINISHED

How this triple was built (2 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: Beyincé | Statement: [Tina Lawson, familyName, Beyincé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beyincé
Context triple: [Tina Lawson, familyName, Beyincé]
  • A. Beyincé chosen
    Beyincé is the maiden surname of Tina Knowles, mother of singer Beyoncé, and a family name associated with the Knowles-Beyoncé family.
  • B. Emeni
    Emeni is a necrolord soulbind NPC in World of Warcraft: Shadowlands, known for providing players with combat-enhancing traits and abilities when bonded in the Soulbinds system.
  • C. Nergisi
    Nergisi was a prominent Ottoman Divan poet known for his ornate prose and refined literary style in the classical Ottoman tradition.
  • D. Nilüfer
    Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
  • E. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8be4b0a88190989022108a58370d completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:49 a.m.