Triple

T901642
Position Surface form Disambiguated ID Type / Status
Subject Joan Baez E19458 entity
Predicate givenName P17 FINISHED
Object Joan E55222 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: Joan | Statement: [Joan Baez, givenName, Joan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joan
Context triple: [Joan Baez, givenName, Joan]
  • A. Joan chosen
    Joan is the birth name of Joni Mitchell, the influential Canadian singer-songwriter and painter renowned for her poetic lyrics and innovative compositions.
  • B. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • C. Marian
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Katherine
    Katherine is a regional town in Australia's Northern Territory, known as a key service and transport hub near Nitmiluk (Katherine Gorge) National Park.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad4412408190a6bf8fc7484a5781 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d6781081908a59c0263515bbc8 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:39 p.m.