Triple

T3781269
Position Surface form Disambiguated ID Type / Status
Subject Joshua Washington E85420 entity
Predicate deathOutcome P51466 FINISHED
Object can transform into a Wendigo depending on player choices 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: can transform into a Wendigo depending on player choices | Statement: [Joshua Washington, deathOutcome, can transform into a Wendigo depending on player choices]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: deathOutcome
Context triple: [Joshua Washington, deathOutcome, can transform into a Wendigo depending on player choices]
  • A. deathApprox
    Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
  • B. deathStatus
    Indicates whether an entity is alive, dead, or in another specified state related to mortality.
  • C. deathDescribedAs
    Indicates that one entity characterizes, portrays, or refers to another entity’s death using a particular description, metaphor, or wording.
  • D. death
    Indicates the event or state in which an entity ceases to live or exist, marking the end of its biological or functional processes.
  • E. deathDescribedIn
    Indicates that a person's death is documented, narrated, or otherwise detailed within a particular source or description.
  • F. None of above. chosen

Provenance (4 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee634c6ac819099653c660c286746 completed March 9, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69aee3d3c92c819081d9d5c45ef37a5d completed March 9, 2026, 3:14 p.m.
PDg Predicate description generation batch_69aee633dab88190b14cec8afb19ca6a completed March 9, 2026, 3:24 p.m.
Created at: March 9, 2026, 3:12 p.m.