Triple

T11538283
Position Surface form Disambiguated ID Type / Status
Subject Patricia Knatchbull, 2nd Countess Mountbatten of Burma E273604 entity
Predicate givenName P17 FINISHED
Object Patricia E58034 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: Patricia | Statement: [Patricia Knatchbull, 2nd Countess Mountbatten of Burma, givenName, Patricia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia
Context triple: [Patricia Knatchbull, 2nd Countess Mountbatten of Burma, givenName, Patricia]
  • A. Patricia chosen
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • B. Jacqueline
    Jacqueline is a feminine given name most famously borne by former U.S. First Lady Jacqueline Kennedy Onassis.
  • C. Patricia Avery
    Patricia Avery was the wife of influential American animator and director Tex Avery, known for her connection to his life and career in classic Hollywood animation.
  • D. Patty
    Patty is a supporting character in the Peanuts comic strip, known as one of the original children in Charlie Brown’s neighborhood.
  • E. Paula
    Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
  • 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_69d6aae3fbec8190a14632a5df2538b6 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8839cdf688190ae75c0e6fece8e33 completed April 10, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7fe305c8190bbf981b2c0e63983 completed April 21, 2026, 2:59 a.m.
Created at: April 8, 2026, 9:37 p.m.