Triple

T10419086
Position Surface form Disambiguated ID Type / Status
Subject Sir Claude E245597 entity
Predicate stepfatherOf P6826 FINISHED
Object Maisie Farange E245592 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: Maisie Farange | Statement: [Sir Claude, stepfatherOf, Maisie Farange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maisie Farange
Context triple: [Sir Claude, stepfatherOf, Maisie Farange]
  • A. Maisie Farange chosen
    Maisie Farange is the perceptive child protagonist of Henry James’s novel "What Maisie Knew," whose experiences reveal the emotional fallout of her parents’ bitter divorce.
  • B. Maisie Roffey
    Maisie Roffey is the daughter of acclaimed British actress Julie Walters and her husband Grant Roffey.
  • C. Maisie Brumble
    Maisie Brumble is a brave and adventurous young girl who becomes a central hero in the animated film "The Sea Beast," challenging traditions of monster hunting and forging an unlikely bond with a legendary sea creature.
  • D. Tamsin
    Tamsin is a feminine given name of English origin, often associated with actresses and public figures such as Tamsin Egerton.
  • E. Mollie Miles
    Mollie Miles is best known as the wife of British racing driver and engineer Ken Miles, who was a key figure in Ford’s 1960s motorsport program.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2938188190a908316d0a0959be completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d96b2803d88190ab93dd19b4cfee30 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:11 p.m.