Triple

T5055203
Position Surface form Disambiguated ID Type / Status
Subject Dr. Julius No E113883 entity
Predicate causeOfMetalHands P694 FINISHED
Object loss of hands due to radiation exposure (film) 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: loss of hands due to radiation exposure (film) | Statement: [Dr. Julius No, causeOfMetalHands, loss of hands due to radiation exposure (film)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfMetalHands
Context triple: [Dr. Julius No, causeOfMetalHands, loss of hands due to radiation exposure (film)]
  • A. causeOfInjury
    Indicates that one entity is the source or reason that another entity sustained an injury.
  • B. lostLimb
    Indicates that an entity has had one or more of its limbs removed or rendered permanently absent, typically as a result of injury, surgery, or trauma.
  • C. causeOf chosen
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • D. associatedMetal
    Indicates a relationship where one entity is linked or connected to a particular metal, such as by composition, usage, origin, or symbolic association.
  • E. handednessAfterInjury
    Indicates the dominant hand or handedness a person exhibits following an injury, especially in contrast to their prior handedness.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd744ccb888190a8a0ddd7c4d62f35 completed March 20, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69bd715479f08190933604aebd34414f completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:38 p.m.