Triple

T12883728
Position Surface form Disambiguated ID Type / Status
Subject Ken Page E308167 entity
Predicate familyName P18 FINISHED
Object Page E66950 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: Page | Statement: [Ken Page, familyName, Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Page
Context triple: [Ken Page, familyName, Page]
  • A. Page
    Page is a character in William Shakespeare’s comedy "The Merry Wives of Windsor," depicted as a respectable middle-class husband in the town of Windsor.
  • B. Page chosen
    Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
  • C. Pages
    Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
  • D. Pag
    Pag is a Croatian Adriatic island known for its barren, moonlike landscape, distinctive sheep’s milk cheese, and historic lace-making tradition.
  • E. Page and Plant
    Page and Plant was a musical duo and project formed by former Led Zeppelin members Jimmy Page and Robert Plant, known for revisiting and reinterpreting Zeppelin material alongside new collaborative work.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fd15888190baf90fc30f2a3e25 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5556fe081909ada9d491b21b17b completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.