Triple

T34672404
Position Surface form Disambiguated ID Type / Status
Subject Thanos’s second Snap on Titan (destroying the Stones) E890408 entity
Predicate physicalEffectOnPerformer P8792 FINISHED
Object Thanos’s left arm badly burned and weakened 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: Thanos’s left arm badly burned and weakened | Statement: [Thanos’s second Snap on Titan (destroying the Stones), physicalEffectOnPerformer, Thanos’s left arm badly burned and weakened]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: physicalEffectOnPerformer
Context triple: [Thanos’s second Snap on Titan (destroying the Stones), physicalEffectOnPerformer, Thanos’s left arm badly burned and weakened]
  • A. involvedPhysicalEffect chosen
    Indicates that one entity participates in causing, experiencing, or mediating a physical effect on another entity or the environment.
  • B. damageEffect
    Indicates that one entity causes harm, reduction, or deterioration to another entity or its properties.
  • C. impactOnBodyIdeal
    Indicates the effect that something has on shaping, reinforcing, or altering perceptions of the ideal body.
  • D. effectOnUser
    Indicates how an action, event, or condition influences or impacts a user.
  • E. impactOnPerformance
    Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another 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_69f349d9c59481908b36baa0be093aea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f728a345488190bd7e6751b09ac591 completed May 3, 2026, 10:51 a.m.
PD Predicate disambiguation batch_69f7283ef2608190a7a85d7e7f5332c0 completed May 3, 2026, 10:49 a.m.
Created at: May 1, 2026, 2:05 a.m.