Triple

T12569026
Position Surface form Disambiguated ID Type / Status
Subject Lucia Chase E295550 entity
Predicate givenName P17 FINISHED
Object Lucia E219616 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: Lucia | Statement: [Lucia Chase, givenName, Lucia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucia
Context triple: [Lucia Chase, givenName, Lucia]
  • A. Lucia chosen
    Lucia is a feminine given name of Latin origin, commonly associated with light and used in various European cultures.
  • B. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • C. Valeria
    Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
  • D. Valeria
    Valeria was a Roman noblewoman best known as the last wife of the dictator Lucius Cornelius Sulla during the late Roman Republic.
  • E. Valeria
    Valeria was a late Roman province in the region of Pannonia, located in what is now western Hungary and parts of neighboring countries.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6c21348190b851fce31df307e2 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 11:50 p.m.