Triple

T31258486
Position Surface form Disambiguated ID Type / Status
Subject Raúl Lavista E797049 entity
Predicate notableWork P4 FINISHED
Object La mujer sin cabeza
La mujer sin cabeza is a Mexican film for which Raúl Lavista composed the musical score.
 E1953150 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: La mujer sin cabeza | Statement: [Raúl Lavista, notableWork, La mujer sin cabeza]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: La mujer sin cabeza
Triple: [Raúl Lavista, notableWork, La mujer sin cabeza]
Generated description
La mujer sin cabeza is a Mexican film for which Raúl Lavista composed the musical score.

Provenance (5 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_69f224dd5fdc81908a4cd24917b67668 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69d89e8b08190b2460ae3b76c8c17 completed May 3, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a296bf852e48190964e80ace5885565 completed June 10, 2026, 1:51 p.m.
NEDg Description generation batch_6a296c9ac13c819081c06411d80071c1 completed June 10, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a299c9b54dc8190abd715cd88979541 completed June 10, 2026, 5:19 p.m.
Created at: April 29, 2026, 9:12 p.m.