Triple

T9227022
Position Surface form Disambiguated ID Type / Status
Subject Sir Richard Arkwright E221709 entity
Predicate spouse P13 FINISHED
Object Margaret Biggins E221709 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: Margaret Biggins | Statement: [Sir Richard Arkwright, spouse, Margaret Biggins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Biggins
Context triple: [Sir Richard Arkwright, spouse, Margaret Biggins]
  • A. Margaret Biggins chosen
    Margaret Biggins was the wife of Sir Richard Arkwright, the pioneering English inventor and industrialist of the early textile factory system.
  • B. Margaret Biggins
    Margaret Biggins is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • C. Margaret Alva
    Margaret Alva is an Indian politician and former Governor who has served as a Union Minister and senior leader of the Indian National Congress.
  • D. Margaret Whitton
    Margaret Whitton was an American actress and director best known for her comedic film roles in the 1980s and 1990s, particularly in sports comedies.
  • E. Margaret Pumphrey
    Margaret Pumphrey was the wife of British-born American actor Victor McLaglen, an Academy Award–winning star of early 20th-century cinema.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9ecef48190b8aa0e316d07cec7 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32a3c9c6881908757c63a0ccdc54e completed April 6, 2026, 3:36 a.m.
Created at: March 30, 2026, 7:28 p.m.