Triple

T34006613
Position Surface form Disambiguated ID Type / Status
Subject Don Omar: The Last Don Live E871982 entity
Predicate featuresSong P2152 FINISHED
Object La Noche Está Buena
"La Noche Está Buena" is a reggaeton track by Don Omar, known for its energetic party vibe and inclusion on his live album "The Last Don Live."
E2076986 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 Noche Está Buena | Statement: [Don Omar: The Last Don Live, featuresSong, La Noche Está Buena]
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 Noche Está Buena
Triple: [Don Omar: The Last Don Live, featuresSong, La Noche Está Buena]
Generated description
"La Noche Está Buena" is a reggaeton track by Don Omar, known for its energetic party vibe and inclusion on his live album "The Last Don Live."

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_69f349a08848819084b348d64c1879c3 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70ac7335881909e9125c0de0efa1e completed May 3, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3692eb3d648190a0666d92fdd68619 completed June 20, 2026, 1:17 p.m.
NEDg Description generation batch_6a369360e05c81908b5104d9516b2bb1 completed June 20, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_6a369446643c8190b9308ded820afd07 completed June 20, 2026, 1:23 p.m.
Created at: May 1, 2026, 1:50 a.m.