Triple

T17868262
Position Surface form Disambiguated ID Type / Status
Subject The Bad Man (1941 film) E446761 entity
Predicate character P662 FINISHED
Object Lucia 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: Lucia | Statement: [The Bad Man (1941 film), character, Lucia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucia
Context triple: [The Bad Man (1941 film), character, 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 (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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.