Triple

T32175539
Position Surface form Disambiguated ID Type / Status
Subject The Other Side of the Bed E821833 entity
Predicate director P255 FINISHED
Object Emilio Martínez-Lázaro
Emilio Martínez-Lázaro is a Spanish film director known for popular comedies and romantic films, including the hit musical comedy "The Other Side of the Bed."
E1994932 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: Emilio Martínez-Lázaro | Statement: [The Other Side of the Bed, director, Emilio Martínez-Lázaro]
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: Emilio Martínez-Lázaro
Triple: [The Other Side of the Bed, director, Emilio Martínez-Lázaro]
Generated description
Emilio Martínez-Lázaro is a Spanish film director known for popular comedies and romantic films, including the hit musical comedy "The Other Side of the Bed."

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_69f3490755288190aee11740a34862f9 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6ba797d6c819087dbb0c390a42b79 completed May 3, 2026, 3:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0bdf0cec8190bcff6d8251c97732 completed June 14, 2026, 8:15 p.m.
NEDg Description generation batch_6a2f0d9e597c8190b1a26cbfa7c67d5f completed June 14, 2026, 8:22 p.m.
NED2 Entity disambiguation (via description) batch_6a2f0e37477c8190a3aa8ca60b954082 completed June 14, 2026, 8:25 p.m.
Created at: May 1, 2026, 12:34 a.m.