Triple

T10546277
Position Surface form Disambiguated ID Type / Status
Subject Oscar Murillo E248825 entity
Predicate givenName P17 FINISHED
Object Oscar E359307 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: Oscar | Statement: [Oscar Murillo, givenName, Oscar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar
Context triple: [Oscar Murillo, givenName, Oscar]
  • A. Oscar
    Oscar is the Allied reporting name for the Nakajima Ki-43, a Japanese World War II fighter aircraft used extensively by the Imperial Japanese Army Air Service.
  • B. Oscar
    The Oscar is a prestigious film industry award presented annually by the Academy of Motion Picture Arts and Sciences to honor outstanding cinematic achievements.
  • C. Oscar chosen
    Oscar is a masculine given name of Old English and Norse origin, commonly used in many European and English-speaking countries.
  • D. Oscar
    Oscar is the NATO reporting name for a class of large, nuclear-powered guided-missile submarines originally built by the Soviet Navy and now operated by the Russian Navy.
  • E. OSCAR
    OSCAR is the proprietary messaging protocol developed by AOL to power its real-time chat and presence services across products like AIM and ICQ.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5191345ac81909bc404ba9574ce4c completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9344a53fc81909765061d07d0cd20 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:33 p.m.