Triple

T7237952
Position Surface form Disambiguated ID Type / Status
Subject Sutomo E155278 entity
Predicate givenName P17 FINISHED
Object Sutomo E155278 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: Sutomo | Statement: [Sutomo, givenName, Sutomo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sutomo
Context triple: [Sutomo, givenName, Sutomo]
  • A. Sutomo chosen
    Sutomo, better known as Bung Tomo, was an Indonesian nationalist leader and radio orator who became a symbol of resistance during the Indonesian National Revolution.
  • B. Suryoyo
    Suryoyo is a modern Neo-Aramaic language traditionally spoken by Syriac Orthodox communities from the Tur Abdin region and surrounding areas in the Middle East.
  • C. Suharjo
    Suharjo was an Indonesian politician known for his involvement in the nationalist movement as a member of the Indonesian National Party (PNI).
  • D. Darsono
    Darsono was an Indonesian communist leader and early political activist best known as a founding figure of the Indonesian Communist Party (PKI).
  • E. Marsio Juwono
    Marsio Juwono is a film director known for collaborating with other filmmakers, including co-directing projects with Jeff Renfroe.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea368fb88190bd9e991e8b94dac6 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d38efa4c8190abd6434188d8c58f completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:55 p.m.