Triple

T5514906
Position Surface form Disambiguated ID Type / Status
Subject Dangerous E144657 entity
Predicate starring P1507 FINISHED
Object Margaret Lindsay E534564 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 Lindsay | Statement: [Dangerous, starring, Margaret Lindsay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Lindsay
Context triple: [Dangerous, starring, Margaret Lindsay]
  • A. Margaret Lindsay
    Margaret Lindsay was a Scottish noblewoman best known as the wife of David Carnegie, 1st Earl of Southesk, and a member of the influential Lindsay family.
  • B. Margaret Lindsay chosen
    Margaret Lindsay was an American film actress of the 1930s and 1940s, known for her supporting roles in numerous Hollywood dramas and crime films.
  • C. Mary Nisbet
    Mary Nisbet was a wealthy Scottish heiress and society figure of the late 18th and early 19th centuries, noted for her influential marriage into the aristocracy and her role in diplomatic and social circles.
  • D. Kathleen Bruce
    Kathleen Bruce was a British sculptor and socialite best known as the wife of Antarctic explorer Robert Falcon Scott and mother of painter and naturalist Peter Scott.
  • E. Anna Erskine
    Anna Erskine is the daughter of American actress Lindsay Crouse.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5b4e988190b590b4157cf089c1 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059d3494c8190b20e57ec4d73d3fa completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:33 p.m.