Triple

T15498217
Position Surface form Disambiguated ID Type / Status
Subject Diana Rigg E378877 entity
Predicate child P120 FINISHED
Object Rachael Stirling E524716 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: Rachael Stirling | Statement: [Diana Rigg, child, Rachael Stirling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rachael Stirling
Context triple: [Diana Rigg, child, Rachael Stirling]
  • A. Rachael Stirling chosen
    Rachael Stirling is a British actress known for her work in television, film, and theatre, including prominent roles in series such as "Detectorists" and "Tipping the Velvet."
  • B. Rachael MacFarlane
    Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
  • C. Rachael Elliott
    Rachael Elliott is a musician best known as the bassoonist for the contemporary chamber ensemble Clogs.
  • D. Siobhan Reilly
    Siobhan Reilly is an actress known for her role in the Scottish comedy-drama film "The Angels' Share."
  • E. Rachael Taylor
    Rachael Taylor is an Australian actress known for her roles in films like "Transformers" and TV series such as "Jessica Jones."
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007d9849a08190a575f19e816e6df2 completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 3:53 a.m.