Triple

T13770678
Position Surface form Disambiguated ID Type / Status
Subject Eulalia Callis E330871 entity
Predicate name P16 FINISHED
Object Eulalia Callis E330871 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: Eulalia Callis | Statement: [Eulalia Callis, name, Eulalia Callis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eulalia Callis
Context triple: [Eulalia Callis, name, Eulalia Callis]
  • A. Eulalia Callis chosen
    Eulalia Callis was the wife of Spanish military officer and early California colonial governor Pedro Fages, making her one of the notable women connected to the early Spanish colonial period in Alta California.
  • B. Eulalia
    Eulalia was a Spanish infanta and writer from the Bourbon dynasty, known for her outspoken views on politics and society in the late 19th and early 20th centuries.
  • C. Helena De'Wend
    Helena De'Wend is a fictional character from the British dark comedy television series "The Life and Times of Vivienne Vyle," which satirizes daytime talk shows and celebrity culture.
  • D. Luciana
    Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
  • E. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0235aea881909ab4c721db081b00 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86907cc8190a6a6b475d08f0dc7 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.