Triple

T4912769
Position Surface form Disambiguated ID Type / Status
Subject Patricia Neal E110273 entity
Predicate givenName P17 FINISHED
Object Patsy E475130 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: Patsy | Statement: [Patricia Neal, givenName, Patsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patsy
Context triple: [Patricia Neal, givenName, Patsy]
  • A. Patsy chosen
    Patsy is a given name commonly used as a diminutive of Patrick or Patricia in English-speaking contexts.
  • B. Patsy Kelly
    Patsy Kelly was an American actress and comedian known for her wisecracking roles in 1930s comedies and later character parts in film, television, and stage.
  • C. Patty
    Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
  • D. Patti
    Patti is a historic town in the Tarn Taran district of Punjab, India, known for its agricultural surroundings and cultural heritage.
  • E. Patsy Louise Neal
    Patsy Louise Neal, better known as Patricia Neal, was an American actress acclaimed for her powerful performances in film, television, and theater, including her Oscar-winning role in "Hud."
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e9dc41481908c0c398852e6819c completed March 20, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77a1ef488190ac9cc34e67a8b243 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:29 p.m.