Triple

T14622286
Position Surface form Disambiguated ID Type / Status
Subject Forty Guns E343253 entity
Predicate musicBy P1952 FINISHED
Object Harry Sukman E830148 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: Harry Sukman | Statement: [Forty Guns, musicBy, Harry Sukman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Sukman
Context triple: [Forty Guns, musicBy, Harry Sukman]
  • A. Harry Sukman chosen
    Harry Sukman was an American composer and arranger best known for his film and television scores, including work on numerous Westerns and horror productions.
  • B. Alan Budikusuma
    Alan Budikusuma is an Indonesian badminton player best known for winning the men's singles gold medal at the 1992 Barcelona Olympic Games.
  • C. Hartono Dharsono
    Hartono Dharsono was an Indonesian military officer and diplomat who became the inaugural Secretary-General of the Association of Southeast Asian Nations (ASEAN), helping shape the organization's early development.
  • D. R.M. Soedarsono
    R.M. Soedarsono was an Indonesian architect best known for designing Jakarta’s iconic National Monument (Monas), a symbol of Indonesia’s independence.
  • E. Agus Subiyanto
    Agus Subiyanto is an Indonesian military general who serves as the chief of the country's armed forces.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb466a61c81908a110d40fb959b6f completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9288e748190bf65a01803265a73 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.