Triple

T10475403
Position Surface form Disambiguated ID Type / Status
Subject Tina Knowles-Lawson E247033 entity
Predicate hasSurname P18 FINISHED
Object Lawson E247033 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: Lawson | Statement: [Tina Knowles-Lawson, hasSurname, Lawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lawson
Context triple: [Tina Knowles-Lawson, hasSurname, Lawson]
  • A. Lawson chosen
    Lawson is a surname most prominently associated with Tina Knowles-Lawson, the fashion designer and mother of Beyoncé and Solange Knowles.
  • B. Lawson
    Lawson is a small town in the Blue Mountains region of New South Wales, Australia, known for its bushwalking trails, waterfalls, and historic village atmosphere.
  • C. Leland
    Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
  • D. Lawrence
    Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • E. Lawrence
    Lawrence is a masculine given name of English origin, derived from the Latin "Laurentius" meaning "from Laurentum" or "crowned with laurel."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094f6b408190a5a26b1a82e4a02b completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a01d8b888190a9137b104f0e0c0c completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:21 p.m.