Triple

T22559961
Position Surface form Disambiguated ID Type / Status
Subject Michele di Lando E557784 entity
Predicate brieflyHeldPower P29191 FINISHED
Object true LITERAL 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: true | Statement: [Michele di Lando, brieflyHeldPower, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: brieflyHeldPower
Context triple: [Michele di Lando, brieflyHeldPower, true]
  • A. heldTemporalPower chosen
    Indicates that an entity exercised governing or authoritative control over another entity or domain during a specific period of time.
  • B. typeOfPowerGranted
    Indicates the specific kind or category of power or authority that is conferred from one entity to another.
  • C. hasPower
    Indicates that one entity possesses authority, control, or influence over another entity or over a particular domain or resource.
  • D. usesPowerFor
    Indicates that one entity applies or exploits a particular power, energy, or capability for a specific purpose or activity.
  • E. heldPowerAlongside
    Indicates that two or more entities simultaneously shared and exercised governing or influential authority during the same period.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7c914881909584c46ae323c779 completed April 29, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69ee626e6bb08190ada4dd8b48cc0c43 completed April 26, 2026, 7:07 p.m.
Created at: April 16, 2026, 8:52 p.m.