Triple

T23762167
Position Surface form Disambiguated ID Type / Status
Subject Sean Saves the World E587277 entity
Predicate cancellingNetwork P70879 FINISHED
Object NBC NE NERFINISHED

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: NBC | Statement: [Sean Saves the World, cancellingNetwork, NBC]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: cancellingNetwork
Context triple: [Sean Saves the World, cancellingNetwork, NBC]
  • A. cancellationNetwork
    Indicates a relationship where one entity participates in or is associated with a network or system that coordinates, propagates, or manages cancellations of actions, events, or commitments involving another entity.
  • B. networkCancellation
    Indicates that a previously established network connection, session, or operation has been terminated or called off.
  • C. cancels chosen
    Indicates that one entity invalidates, nullifies, or stops the effect, operation, or scheduled occurrence of another entity or action.
  • D. cancellation
    Indicates that a previously planned or scheduled event, action, or agreement is being annulled, terminated, or rendered no longer valid.
  • E. cancelPurpose
    Indicates that one action, event, or entity serves to nullify, revoke, or terminate the intended purpose or effect of 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_69e2490b8ac48190a6b35f1d5500486b completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1bdb34d5c81909087385066a52e61 completed April 29, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69f155f79e34819080f9ddb972b34deb completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:14 p.m.