Triple

T6848885
Position Surface form Disambiguated ID Type / Status
Subject King Chattergy E157963 entity
Predicate associatedWith P37 FINISHED
Object Guppees E621520 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: Guppees | Statement: [King Chattergy, associatedWith, Guppees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guppees
Context triple: [King Chattergy, associatedWith, Guppees]
  • A. Guppees chosen
    Guppees are a group or organization characterized by having the devoted allegiance of the individual known as Blabbermouth.
  • B. Gopikas
    Gopikas are the cowherd maidens of Vrindavan in Hindu tradition, celebrated for their unwavering devotion and love for Lord Krishna.
  • C. Murasoli
    Murasoli is the official Tamil-language newspaper and party organ of the Dravida Munnetra Kazhagam (DMK) in Tamil Nadu, India.
  • D. Gohana
    Gohana is a town and municipal council in the Indian state of Haryana, known as a local commercial and agricultural hub in the Sonipat region.
  • E. Parangolés
    Parangolés are a series of wearable, participatory artworks created by Brazilian artist Hélio Oiticica that merge painting, sculpture, and performance to explore movement, color, and viewer interaction.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84acb288190a67d974197ecab2f completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748b5a7c08190983bd355a1bc76d7 completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:20 p.m.