Triple

T31802952
Position Surface form Disambiguated ID Type / Status
Subject Professor Hinkle E811789 entity
Predicate eventually P112893 FINISHED
Object promises to be better to get his hat back 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: promises to be better to get his hat back | Statement: [Professor Hinkle, eventually, promises to be better to get his hat back]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eventually
Context triple: [Professor Hinkle, eventually, promises to be better to get his hat back]
  • A. eventuallyIn
    Indicates that one entity will, at some later time or in the long run, come to be located in, belong to, or be contained within another entity or state.
  • B. ultimately chosen
    Indicates that one event, state, or outcome is the final or eventual result of another over time or through a sequence of intermediate steps.
  • C. eventualRelease
    Indicates that one entity will be released or set free at some point in the future, though the exact time may be unknown or unspecified.
  • D. eventualFate
    Indicates the ultimate outcome or final state that an entity is destined to reach over time.
  • E. eventuallyFalls
    Indicates that an entity, after some passage of time or sequence of events, comes to fall or collapse.
  • 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_69f348e70d188190b4637c5509f81274 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f70e8755a48190931eaa77946f9460 completed May 3, 2026, 8:59 a.m.
PD Predicate disambiguation batch_69f70abc00848190a1c3f495ef6c8dc6 completed May 3, 2026, 8:43 a.m.
Created at: April 30, 2026, 11:42 p.m.