Triple

T25511202
Position Surface form Disambiguated ID Type / Status
Subject Paco Rabanne E639382 entity
Predicate birthName P65 FINISHED
Object Francisco Rabaneda Cuervo
Francisco Rabaneda Cuervo, better known as Paco Rabanne, was a Spanish-born French fashion designer famed for his avant-garde, futuristic creations and innovative use of unconventional materials.
E1811979 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: Francisco Rabaneda Cuervo | Statement: [Paco Rabanne, birthName, Francisco Rabaneda Cuervo]
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: Francisco Rabaneda Cuervo
Triple: [Paco Rabanne, birthName, Francisco Rabaneda Cuervo]
Generated description
Francisco Rabaneda Cuervo, better known as Paco Rabanne, was a Spanish-born French fashion designer famed for his avant-garde, futuristic creations and innovative use of unconventional materials.

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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f80b05ac8190a4a0cd75e8717917 completed May 2, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1606e47fcc81908307a29e2b6cb39d completed May 26, 2026, 8:47 p.m.
NEDg Description generation batch_6a1612f49f608190abe3f715dc878cb1 completed May 26, 2026, 9:39 p.m.
NED2 Entity disambiguation (via description) batch_6a1613ad48648190854382246e238d2b completed May 26, 2026, 9:42 p.m.
Created at: April 21, 2026, 2:49 p.m.