Triple

T12951325
Position Surface form Disambiguated ID Type / Status
Subject Rose Tyler E309898 entity
Predicate gainsPower P82640 FINISHED
Object Bad Wolf entity 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: Bad Wolf entity | Statement: [Rose Tyler, gainsPower, Bad Wolf entity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: gainsPower
Context triple: [Rose Tyler, gainsPower, Bad Wolf entity]
  • A. gainedPowerAfter
    Indicates that one entity acquired power, authority, or influence subsequent to an event, condition, or action involving another entity.
  • B. enhancesPowersOf chosen
    Indicates that one entity increases, amplifies, or strengthens the abilities or powers of another entity.
  • C. powerUp
    Indicates an action where an entity increases or restores another entity’s energy, strength, or functional capacity.
  • D. methodOfGainingPower
    Indicates the way or process through which an entity acquires or increases power.
  • E. regainedPowerIn
    Indicates that an entity has recovered or reestablished its previous level of power, control, or authority within a specified context or domain.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e59a4c88190907d05b8d57dae89 completed April 10, 2026, 10:48 p.m.
PD Predicate disambiguation batch_69d97dba57988190b786ffed55687a72 completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:43 p.m.