Triple

T29580844
Position Surface form Disambiguated ID Type / Status
Subject Victory Unintentional E753572 entity
Predicate causeOfMisunderstanding P694 FINISHED
Object Jovians assume robots are typical humans 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: Jovians assume robots are typical humans | Statement: [Victory Unintentional, causeOfMisunderstanding, Jovians assume robots are typical humans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfMisunderstanding
Context triple: [Victory Unintentional, causeOfMisunderstanding, Jovians assume robots are typical humans]
  • A. misinterpretedBy
    Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
  • B. misconceptionSource
    Indicates that one entity is the origin or cause from which a particular misconception arises or is derived.
  • C. causeOf chosen
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • D. romanticMisunderstandingsWith
    Indicates a situation where two entities experience confusion, misinterpretation, or mistaken beliefs about each other’s romantic feelings, intentions, or relationship status.
  • E. reasonForMisidentification
    Indicates the explanation or cause behind why one entity was incorrectly identified as another.
  • 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_69f0ef80bf8c8190ad286e99f7df0c63 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_69f73ae120bc8190bff94d38d7a7a00d completed May 3, 2026, 12:09 p.m.
PD Predicate disambiguation batch_69f73a38d0848190aa5139144b8561c6 completed May 3, 2026, 12:06 p.m.
Created at: April 28, 2026, 6:06 p.m.