Triple

T16844885
Position Surface form Disambiguated ID Type / Status
Subject Atlee Pine E409509 entity
Predicate hasPersonalStruggle P36801 FINISHED
Object search for truth about her past 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: search for truth about her past | Statement: [Atlee Pine, hasPersonalStruggle, search for truth about her past]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPersonalStruggle
Context triple: [Atlee Pine, hasPersonalStruggle, search for truth about her past]
  • A. associatedWithStruggle
    Indicates a relationship in which an entity is connected to, involved in, or characterized by a particular struggle, conflict, or hardship.
  • B. notableStruggles chosen
    Indicates that the subject has faced significant challenges, difficulties, or adversities that are especially noteworthy or defining.
  • C. hasTragicPast
    Indicates that an entity has experienced a significantly sorrowful or traumatic history that influences its present state or characterization.
  • D. hasDifficultyWith
    Indicates that one entity experiences problems, challenges, or lack of proficiency in dealing with, understanding, or performing something related to another entity.
  • E. hasPersonalLife
    Indicates that an entity has aspects, activities, or relationships belonging to its private or non-professional life.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b3533a9481909730571e6f758cbe completed April 18, 2026, 4:37 p.m.
PD Predicate disambiguation batch_69e32b87b4248190aaddb05e88452356 completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:24 a.m.