Triple

T12896250
Position Surface form Disambiguated ID Type / Status
Subject Cantata IV E308500 entity
Predicate textAuthor P2353 FINISHED
Object Picander E298349 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: Picander | Statement: [Cantata IV, textAuthor, Picander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Picander
Context triple: [Cantata IV, textAuthor, Picander]
  • A. Picander chosen
    Picander was the pen name of Christian Friedrich Henrici, an 18th-century German poet best known for writing many of Johann Sebastian Bach’s sacred and secular librettos.
  • B. Zaijian Jaranilla
    Zaijian Jaranilla is a Filipino actor best known for his acclaimed child roles in Philippine television dramas and films.
  • C. Mamasapano
    Mamasapano is a municipality in the province of Maguindanao in the southern Philippines, known for its rural communities and as the site of a major 2015 security operation.
  • D. Dupax Isinay
    Dupax Isinay is a regional dialect of the Isinay language traditionally spoken in the Dupax area of Nueva Vizcaya in the northern Philippines.
  • E. Aguedo del Rosario
    Aguedo del Rosario was a Filipino revolutionary associated with the Katipunan movement against Spanish colonial rule.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9717d859481908957510babac2d69 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a55f98c08190b8910b1443841fa7 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:40 p.m.