Triple

T16411783
Position Surface form Disambiguated ID Type / Status
Subject Sam Giddings E398583 entity
Predicate hasHighChanceOfSurvival P123325 FINISHED
Object true 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: true | Statement: [Sam Giddings, hasHighChanceOfSurvival, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHighChanceOfSurvival
Context triple: [Sam Giddings, hasHighChanceOfSurvival, true]
  • A. survivesWith
    Indicates that one entity continues to live, endure, or remain viable in the presence, context, or company of another entity.
  • B. survivesBy
    Indicates that one entity continues to live or exist after another entity has died or ceased to exist.
  • C. survivesIn
    Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
  • D. hasSurvivors
    Indicates that one or more entities continue to exist or remain alive after a particular event, condition, or incident.
  • E. survivesAs
    Indicates that one entity continues to exist or persist in place of, or after the end or transformation of, another entity.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32874a0cc8190874aea10b1d13004 completed April 18, 2026, 6:45 a.m.
PD Predicate disambiguation batch_69e226fe1dd08190865c181721f8c348 completed April 17, 2026, 12:26 p.m.
PDg Predicate description generation batch_69e24555bb6c8190977cf5c5f9149056 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:09 a.m.