Triple

T4520433
Position Surface form Disambiguated ID Type / Status
Subject The Whole Town’s Talking E103251 entity
Predicate followsLivesAndAfterlivesOf P43852 FINISHED
Object residents of a small Missouri town 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: residents of a small Missouri town | Statement: [The Whole Town’s Talking, followsLivesAndAfterlivesOf, residents of a small Missouri town]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: followsLivesAndAfterlivesOf
Context triple: [The Whole Town’s Talking, followsLivesAndAfterlivesOf, residents of a small Missouri town]
  • A. followsLifeOf chosen
    Indicates that one entity’s narrative, development, or progression is tracked or depicted over the course of that entity’s life.
  • B. associatedAfterlife
    Indicates a relationship where an entity is linked to, or characterized by, a particular concept, realm, or state of existence after death.
  • C. afterlifeFate
    Indicates the outcome or condition an entity experiences in the afterlife as a result of its life or actions.
  • D. follows
    Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
  • E. followsBy
    Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5749d95481908db0176459c096cf completed March 20, 2026, 2:18 p.m.
PD Predicate disambiguation batch_69bd521abea48190b3e758a1f98dd55e completed March 20, 2026, 1:56 p.m.
Created at: March 20, 2026, 1:02 p.m.