Triple

T30697608
Position Surface form Disambiguated ID Type / Status
Subject Herald Loomis E781517 entity
Predicate appearsAtSetting P44691 FINISHED
Object Pittsburgh boardinghouse of Seth and Bertha Holly NE NERFINISHED

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: Pittsburgh boardinghouse of Seth and Bertha Holly | Statement: [Herald Loomis, appearsAtSetting, Pittsburgh boardinghouse of Seth and Bertha Holly]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appearsAtSetting
Context triple: [Herald Loomis, appearsAtSetting, Pittsburgh boardinghouse of Seth and Bertha Holly]
  • A. usedAsSettingFor
    Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
  • B. indicatedSetting
    Indicates that one entity specifies, denotes, or points out a particular setting or configuration associated with another entity.
  • C. coversSetting
    Indicates that one entity includes or addresses a particular setting or context within its scope.
  • D. associatedWithSetting chosen
    Indicates that one entity is connected or linked to a particular context, environment, or setting in which it occurs or is relevant.
  • E. apparitionSetting
    Indicates the context or environment in which an apparition or ghostly manifestation appears.
  • 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_69f224ab24e08190991d6edb6df58e8b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fb6fdc7eb081908ab8475efb38c430 completed May 6, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69fb5a986e588190b7a10892bd2ff44c completed May 6, 2026, 3:13 p.m.
Created at: April 29, 2026, 8:34 p.m.