Triple

T25088108
Position Surface form Disambiguated ID Type / Status
Subject Werther E628378 entity
Predicate borrowsWeaponFrom P49731 FINISHED
Object Albert 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: Albert | Statement: [Werther, borrowsWeaponFrom, Albert]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: borrowsWeaponFrom
Context triple: [Werther, borrowsWeaponFrom, Albert]
  • A. armedBy chosen
    Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
  • B. usedWeapon
    Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
  • C. weaponUsedIn
    Indicates that a particular weapon is employed or involved in carrying out a specific event or action.
  • D. wieldedFrom
    Indicates that an entity uses or brandishes another entity as a weapon or tool originating from a particular source or location.
  • E. weaponUsedAgainst
    Indicates that a particular weapon or instrument is employed in an act of aggression, attack, or harm directed toward a specific target or entity.
  • F. None of above.

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_69e2ff2f58e881908340527bc5d34f07 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f461e667a48190ad63646978cadf62 completed May 1, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69f442c861188190967655c6d8012380 completed May 1, 2026, 6:06 a.m.
Created at: April 18, 2026, 6:24 a.m.