Triple

T10281029
Position Surface form Disambiguated ID Type / Status
Subject Queen Ravenna E241099 entity
Predicate kingdomRuled P3022 FINISHED
Object Tabor E852136 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: Tabor | Statement: [Queen Ravenna, kingdomRuled, Tabor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabor
Context triple: [Queen Ravenna, kingdomRuled, Tabor]
  • A. Tabor
    Tabor is a surname most notably associated with 19th-century American silver magnate and politician Horace Tabor.
  • B. Tabor chosen
    Tabor is the fictional kingdom ruled by Queen Ravenna in the dark fantasy film "Snow White and the Huntsman."
  • C. Manassa
    Manassa is a small rural town in southern Colorado known as the birthplace of heavyweight boxing champion Jack Dempsey.
  • D. Tahlequah
    Tahlequah is a city in eastern Oklahoma that serves as the capital of the Cherokee Nation and is known for its rich Native American history and culture.
  • E. Tawonga
    Tawonga is a small rural township in northeastern Victoria, Australia, situated in the Kiewa Valley near the alpine region.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a0c90c8190ad6ee479a32e5a95 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d012ae481909633b1333dc88b63 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:39 a.m.