Triple

T21650547
Position Surface form Disambiguated ID Type / Status
Subject Roland Penrose E534325 entity
Predicate familyName P18 FINISHED
Object Penrose NE NERFINISHED

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: Penrose | Statement: [Roland Penrose, familyName, Penrose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penrose
Context triple: [Roland Penrose, familyName, Penrose]
  • A. Penrose
    Penrose is a small town located in Fremont County, Colorado, known for its rural character and agricultural surroundings.
  • B. Penrose
    Penrose is a neighborhood in Southwest Philadelphia known for its residential character and proximity to major city thoroughfares and the airport.
  • C. Penrose chosen
    Penrose is an English surname borne by several notable figures in science, mathematics, and the arts.
  • D. Penrose
    Penrose is a suburb and key industrial-commercial area in Auckland, New Zealand, located south of the city centre.
  • E. Penrose
    Penrose is the middle name of Guy Gibson, the famed Royal Air Force Wing Commander who led the World War II Dambusters raid.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5913cd9c81908a6ce9bc741416bf completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:35 p.m.