Triple

T11550770
Position Surface form Disambiguated ID Type / Status
Subject Mary Warnock E273882 entity
Predicate memberOf P10 FINISHED
Object Crossbench peers E272762 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: Crossbench peers | Statement: [Mary Warnock, memberOf, Crossbench peers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crossbench peers
Context triple: [Mary Warnock, memberOf, Crossbench peers]
  • A. Crossbench chosen
    The Crossbench is a group of independent, non-party-affiliated members in the UK House of Lords who are not aligned with any political party.
  • B. CF Benchmarks
    CF Benchmarks is a cryptocurrency index provider known for creating and administering regulated benchmark rates for digital assets such as Bitcoin and Ether, widely used in financial products and derivatives.
  • C. The Bench
    The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
  • D. The Bench
    The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
  • E. The Bench
    "The Bench" is a children's picture book by Meghan, Duchess of Sussex, that reflects on the bond between fathers and sons through a mother's perspective.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a83f1e88190aabf11a4c8a6c9e5 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8396ed081909bdf381db3dacd62 completed April 21, 2026, 3 a.m.
Created at: April 8, 2026, 9:37 p.m.