Triple

T4424693
Position Surface form Disambiguated ID Type / Status
Subject Honey E95181 entity
Predicate supportsPlatform P203 FINISHED
Object Opera E72095 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: Opera | Statement: [Honey, supportsPlatform, Opera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Opera
Context triple: [Honey, supportsPlatform, Opera]
  • A. Opera chosen
    Opera is a web browser known for its built-in features like a free VPN, ad blocker, and integrated messaging tools.
  • B. OPERA
    OPERA was a long-baseline neutrino oscillation experiment at the Gran Sasso National Laboratory in Italy, designed to detect tau neutrinos in a beam sent from CERN.
  • C. World Music Theatre
    World Music Theatre is a large outdoor concert amphitheater in Tinley Park, Illinois, known for hosting major touring music acts and festivals.
  • D. Music for the Theatre
    Music for the Theatre is a 1925 jazz-influenced orchestral suite by Aaron Copland that blends modernist harmonies with theatrical, American vernacular styles.
  • E. opera "Eugene Onegin"
    "Eugene Onegin" is a lyric opera in three acts by Pyotr Ilyich Tchaikovsky, based on Alexander Pushkin’s novel in verse and renowned as one of the central works of the Russian operatic repertoire.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554ca5208190ba2661616dcf071c completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613683d4c8190b04f14c7a74b619a completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:30 p.m.