Triple

T23336463
Position Surface form Disambiguated ID Type / Status
Subject Gerald Levert E591599 entity
Predicate associatedAct P37 FINISHED
Object LSG 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: LSG | Statement: [Gerald Levert, associatedAct, LSG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSG
Context triple: [Gerald Levert, associatedAct, LSG]
  • A. LSG chosen
    LSG is an American R&B supergroup best known for its smooth, soulful harmonies and collaborations among prominent male vocalists in the 1990s.
  • B. LSG
    LSG is the standard French abbreviation for the Louis Segond Bible, a widely used Protestant translation of the Scriptures into French.
  • C. LSGK
    LSGK is the ICAO airport code for Saanen Airport, a small regional airfield in the Swiss Alps serving the Gstaad area.
  • D. CSK
    CSK was the ISO 4217 currency code for the former Czechoslovak koruna, the official currency of Czechoslovakia before its dissolution.
  • E. CSK
    CSK is a popular franchise cricket team based in Chennai that competes in the Indian Premier League (IPL).
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197f1e0588190bf073b92be0bf9e4 completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:16 p.m.