Triple

T7724635
Position Surface form Disambiguated ID Type / Status
Subject Cristina Pato E175098 entity
Predicate familyName P18 FINISHED
Object Pato
Pato is a Galician musician and educator best known internationally as a virtuoso gaita (Galician bagpipe) player and collaborator with jazz and classical ensembles.
 E684486 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: Pato | Statement: [Cristina Pato, familyName, Pato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pato
Context triple: [Cristina Pato, familyName, Pato]
  • A. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • B. Pombo
    Pombo is a component or subdivision associated with the larger entity known as Linares y Pombo.
  • C. Patos
    Patos is a municipality in the state of Paraíba in northeastern Brazil, known as a regional commercial and service center in the semi-arid hinterland.
  • D. Pidgeon
    Pidgeon is a surname most notably associated with Canadian-American actor Walter Pidgeon, a prominent film star of Hollywood’s classic era.
  • E. Fethry Duck
    Fethry Duck is an eccentric, enthusiastic, and often scatterbrained member of the Duck family in Disney comics, known for his unconventional ideas and offbeat adventures.
  • 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: Pato
Triple: [Cristina Pato, familyName, Pato]
Generated description
Pato is a Galician musician and educator best known internationally as a virtuoso gaita (Galician bagpipe) player and collaborator with jazz and classical ensembles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pato
Target entity description: Pato is a Galician musician and educator best known internationally as a virtuoso gaita (Galician bagpipe) player and collaborator with jazz and classical ensembles.
  • A. Pichi
    Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
  • B. Pombo
    Pombo is a component or subdivision associated with the larger entity known as Linares y Pombo.
  • C. Patos
    Patos is a municipality in the state of Paraíba in northeastern Brazil, known as a regional commercial and service center in the semi-arid hinterland.
  • D. Pidgeon
    Pidgeon is a surname most notably associated with Canadian-American actor Walter Pidgeon, a prominent film star of Hollywood’s classic era.
  • E. Fethry Duck
    Fethry Duck is an eccentric, enthusiastic, and often scatterbrained member of the Duck family in Disney comics, known for his unconventional ideas and offbeat adventures.
  • 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7031279708190a3a5fb64f9206974 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b51faa348190b4fa0b5a307c83db completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b74ee6d081908454b2d4774a3a7b completed March 29, 2026, 5:23 a.m.
NED2 Entity disambiguation (via description) batch_69c8b7af4c58819097360e89e7ea6062 completed March 29, 2026, 5:25 a.m.
Created at: March 27, 2026, 4:05 p.m.