Triple

T5754222
Position Surface form Disambiguated ID Type / Status
Subject Gutter Rainbows E126925 entity
Predicate follows P134 FINISHED
Object Eardrum E126924 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: Eardrum | Statement: [Gutter Rainbows, follows, Eardrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eardrum
Context triple: [Gutter Rainbows, follows, Eardrum]
  • A. Eardrum chosen
    Eardrum is a 2007 studio album by American rapper Talib Kweli that showcases his socially conscious lyricism over a diverse range of hip-hop production.
  • B. the Nose
    The Nose is the absurd, anthropomorphized facial feature that becomes an independent character in Nikolai Gogol’s satirical short story of the same name.
  • C. Nose
    Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
  • D. Corne
    Corne is a given name, typically used as a shortened or informal form of the Dutch name Cornelis.
  • E. Cilicia Trachea
    Cilicia Trachea was the rugged, mountainous western part of ancient Cilicia in southeastern Asia Minor, known for its steep coastline, forests, and historical reputation as a haven for pirates.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02904dcf481909e4340a64ee1034e completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097ffbf848190ba20a72c676d2c8e completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:49 p.m.