Triple

T10515340
Position Surface form Disambiguated ID Type / Status
Subject Weather Report E248015 entity
Predicate member P10 FINISHED
Object Dom Um Romão
Dom Um Romão was a Brazilian jazz drummer and percussionist known for his influential work in bossa nova and jazz fusion, including his tenure with the band Weather Report.
 E868331 NE FINISHED

How this triple was built (4 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: Dom Um Romão | Statement: [Weather Report, member, Dom Um Romão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dom Um Romão
Context triple: [Weather Report, member, Dom Um Romão]
  • A. Rometty
    Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
  • B. The Ramainz
    The Ramainz were a punk rock band formed by former members of the Ramones to perform and celebrate the classic Ramones repertoire.
  • C. La Pera
    La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
  • D. Gallo Nero
    Gallo Nero is the iconic black rooster emblem historically associated with Chianti Classico wines from Tuscany, Italy.
  • E. Zelo Buon Persico
    Zelo Buon Persico is a small municipality in the Lombardy region of northern Italy, situated near Milan and characterized by its rural-residential setting.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Dom Um Romão
Triple: [Weather Report, member, Dom Um Romão]
Generated description
Dom Um Romão was a Brazilian jazz drummer and percussionist known for his influential work in bossa nova and jazz fusion, including his tenure with the band Weather Report.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dom Um Romão
Target entity description: Dom Um Romão was a Brazilian jazz drummer and percussionist known for his influential work in bossa nova and jazz fusion, including his tenure with the band Weather Report.
  • A. Rometty
    Rometty is the surname of Ginni Rometty, the former chairman, president, and CEO of IBM.
  • B. The Ramainz
    The Ramainz were a punk rock band formed by former members of the Ramones to perform and celebrate the classic Ramones repertoire.
  • C. La Pera
    La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
  • D. Gallo Nero
    Gallo Nero is the iconic black rooster emblem historically associated with Chianti Classico wines from Tuscany, Italy.
  • E. Zelo Buon Persico
    Zelo Buon Persico is a small municipality in the Lombardy region of northern Italy, situated near Milan and characterized by its rural-residential setting.
  • F. None of above. chosen

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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cbacb08190a446c864b97823ad completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dfbd364819087c70d3b3580eb7a completed April 10, 2026, 2:49 p.m.
NEDg Description generation batch_69d9107dc8448190998c4044f68a775e completed April 10, 2026, 3 p.m.
NED2 Entity disambiguation (via description) batch_69d911e7d2dc8190a67b2513607fdf98 completed April 10, 2026, 3:06 p.m.
Created at: April 6, 2026, 12:27 p.m.