Triple

T34566465
Position Surface form Disambiguated ID Type / Status
Subject Jacob Marley E887503 entity
Predicate supernaturalForm P71409 FINISHED
Object ghost 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: ghost | Statement: [Jacob Marley, supernaturalForm, ghost]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supernaturalForm
Context triple: [Jacob Marley, supernaturalForm, ghost]
  • A. mainSupernaturalEntity
    Indicates that one entity is the primary or central supernatural being associated with, influencing, or defining another entity or context.
  • B. containsSupernaturalElement
    Indicates that the subject involves or features a supernatural, magical, or otherworldly element beyond normal natural laws.
  • C. hasSupernaturalStatus chosen
    Indicates that an entity possesses a status, condition, or role that is beyond or outside normal natural laws (e.g., divine, magical, or otherwise supernatural).
  • D. hasSupernaturalConnectionWith
    Indicates a special, non-natural bond or interaction exists between two entities that involves supernatural forces, powers, or phenomena.
  • E. supernaturalExplainedNaturalistically
    Indicates that an event or phenomenon initially interpreted as supernatural is later explained in terms of natural, non-supernatural causes.
  • 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_69f349d0c4d881908dd0950f5eb9ec0a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fcf825ca7081909d06b0df33eb33f9 completed May 7, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fcf42160f0819096812a8bf590875e completed May 7, 2026, 8:20 p.m.
Created at: May 1, 2026, 2:02 a.m.