Triple

T7514445
Position Surface form Disambiguated ID Type / Status
Subject La Celestina E177603 entity
Predicate mainCharacter P1183 FINISHED
Object Celestina E177603 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: Celestina | Statement: [La Celestina, mainCharacter, Celestina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Celestina
Context triple: [La Celestina, mainCharacter, Celestina]
  • A. La Celestina chosen
    La Celestina is a seminal late 15th-century Spanish tragicomedy, often considered a precursor to the modern novel and a cornerstone of Spanish Renaissance literature.
  • B. La Rosaura
    La Rosaura is an opera by Italian Baroque composer Alessandro Scarlatti, exemplifying his influential contribution to early 18th-century opera.
  • C. La Jara
    La Jara is a small town in southern Colorado that serves as the primary population and commercial center of Conejos County.
  • D. Carmen de la Pica Morales
    Carmen de la Pica Morales is a charismatic DJ and love interest on the television drama "The L Word," known for her complex relationships and vibrant personality.
  • E. Doña Juana
    Doña Juana is a stratovolcano in the Northern Volcanic Zone of the Andes, known for its explosive eruptions and location in southwestern Colombia.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d6ccb08190a568a9b58bfbd0cc completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84619aac8819083a1d7380f4b30d3 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.