Triple

T21543281
Position Surface form Disambiguated ID Type / Status
Subject Brent E531547 entity
Predicate meetsCharacter P1220 FINISHED
Object General Ursus NE NERFINISHED

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: General Ursus | Statement: [Brent, meetsCharacter, General Ursus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Ursus
Context triple: [Brent, meetsCharacter, General Ursus]
  • A. General Ursus chosen
    General Ursus is a militant gorilla commander and primary antagonist in the science fiction film "Beneath the Planet of the Apes."
  • B. Urs
    Urs is a masculine given name of Germanic origin, commonly used in German-speaking and some other European countries.
  • C. Ursus
    Ursus is a central character in Victor Hugo's novel "L'Homme qui rit," depicted as a cynical yet compassionate philosopher and guardian to the disfigured protagonist, Gwynplaine.
  • D. Ursus
    Ursus is a district in western Warsaw, Poland, historically known as an industrial area and a notable center of worker unrest during the communist era.
  • E. Ursus
    Ursus is a genus of large mammals in the bear family that includes species such as brown bears, polar bears, and black bears.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58d66ec8190b654a46932c841d3 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.