Triple

T11169898
Position Surface form Disambiguated ID Type / Status
Subject Oscar Zoroaster Phadrig Isaac Norman Henkel Emmannuel Ambroise Diggs E264245 entity
Predicate shortName P43 FINISHED
Object Oz E571197 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: Oz | Statement: [Oscar Zoroaster Phadrig Isaac Norman Henkel Emmannuel Ambroise Diggs, shortName, Oz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oz
Context triple: [Oscar Zoroaster Phadrig Isaac Norman Henkel Emmannuel Ambroise Diggs, shortName, Oz]
  • A. Oz
    Oz is a gritty HBO drama series set in a maximum-security prison, known for its dark, realistic portrayal of inmate life and institutional violence.
  • B. Oz
    Oz is a tree-lined, expert-focused peak and trail pod at Maine’s Sunday River ski resort, known for its challenging terrain and glade skiing.
  • C. Oz chosen
    Oz is a common diminutive or nickname for the given name Oswald.
  • D. Oz
    Oz is the magical land at the center of L. Frank Baum’s classic “Wizard of Oz” stories, inhabited by diverse fantastical peoples and creatures.
  • E. OZ
    OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8952e248190b0751669e8c960b7 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483816af08190877f86ee52846581 completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:29 p.m.