Triple

T8512232
Position Surface form Disambiguated ID Type / Status
Subject Penelope Horner E201483 entity
Predicate name P16 FINISHED
Object Penelope Horner E201483 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: Penelope Horner | Statement: [Penelope Horner, name, Penelope Horner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penelope Horner
Context triple: [Penelope Horner, name, Penelope Horner]
  • A. Penelope Horner chosen
    Penelope Horner was a British actress active in film and television during the mid-20th century, known for her supporting roles in comedies and dramas.
  • B. Penelope Allen
    Penelope Allen is an American actress best known for her supporting role in the 1975 crime drama film "Dog Day Afternoon."
  • C. Penelope Anne Cooke
    Penelope Anne Cooke was a British aristocrat best known as the mother of James Brudenell, 7th Earl of Cardigan, the cavalry officer who led the Charge of the Light Brigade.
  • D. Emma Pritchard
    Emma Pritchard is an actress known for her role in the romantic comedy film "The Holiday."
  • E. Tessa Quayle
    Tessa Quayle is a passionate human-rights activist whose mysterious death in Kenya drives the political and emotional intrigue at the heart of John le Carré’s novel "The Constant Gardener."
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60b0d4c8190812ddbc1c17389c8 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e4e64f481908ddf99570fe59332 completed April 2, 2026, 11:09 a.m.
Created at: March 30, 2026, 6:15 p.m.