Triple

T18428369
Position Surface form Disambiguated ID Type / Status
Subject Sirena chilota E450197 entity
Predicate hasRelative P367 FINISHED
Object Pincoy NE NERFINISHED

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: Pincoy | Statement: [Sirena chilota, hasRelative, Pincoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pincoy
Context triple: [Sirena chilota, hasRelative, Pincoy]
  • A. Pincoy chosen
    Pincoy is a male water spirit from Chilote mythology, often depicted as a handsome merman who helps govern the sea and guide the souls of the drowned.
  • B. Moymoy Palaboy
    Moymoy Palaboy is a Filipino comic duo and internet sensation known for their lip-sync parody videos and appearances on Philippine television.
  • C. Pinola
    Pinola is a small unincorporated community located in Simpson County, Mississippi, United States.
  • D. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • E. Pacanins y Niño
    Pacanins y Niño is the aristocratic Venezuelan family name of fashion designer Carolina Herrera, reflecting her prominent social and cultural heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b14c4d481909af975575a43c4e1 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:25 a.m.