Triple

T13762273
Position Surface form Disambiguated ID Type / Status
Subject John Mills E330641 entity
Predicate child P120 FINISHED
Object Hayley Mills E115959 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: Hayley Mills | Statement: [John Mills, child, Hayley Mills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hayley Mills
Context triple: [John Mills, child, Hayley Mills]
  • A. Hayley Mills chosen
    Hayley Mills is a British actress best known as a popular child star of the 1960s, particularly for her roles in Disney films such as "Pollyanna" and "The Parent Trap."
  • B. Jean Marsh
    Jean Marsh is an English actress and writer best known as the co-creator and star of the acclaimed television series "Upstairs, Downstairs."
  • C. Josie Lawrence
    Josie Lawrence is an English actress and comedian best known for her improvisational work on the TV show "Whose Line Is It Anyway?" and numerous stage and screen roles.
  • D. Hayley Roberts
    Hayley Roberts is a Welsh former shop assistant and model best known for being married to actor and singer David Hasselhoff.
  • E. Jenny Agutter
    Jenny Agutter is a British actress known for her roles in films such as "The Railway Children," "Walkabout," and "An American Werewolf in London," as well as in the TV series "Call the Midwife."
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8606dbc8190b0f7c38583986141 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.