Triple

T6997330
Position Surface form Disambiguated ID Type / Status
Subject Anna Tuthill Symmes Harrison E162247 entity
Predicate causeOfNotLivingInWhiteHouse P74347 FINISHED
Object ill health and travel difficulties 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: ill health and travel difficulties | Statement: [Anna Tuthill Symmes Harrison, causeOfNotLivingInWhiteHouse, ill health and travel difficulties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: causeOfNotLivingInWhiteHouse
Context triple: [Anna Tuthill Symmes Harrison, causeOfNotLivingInWhiteHouse, ill health and travel difficulties]
  • A. reasonNotUsedByPresident
    Indicates that something serves as an explanation for why the president did not use or employ a particular thing, action, or option.
  • B. endTimeOfWhiteHouseResidence
    Indicates the point in time when an individual's period of residence in the White House concludes.
  • C. residenceWhileInOffice
    Indicates the place where a person lives or is officially resident during the period they hold a particular office or position.
  • D. homeOfPresident
    Indicates the location that serves as the residence of a president.
  • E. positionRelativeToWhiteHouse
    Indicates the spatial position or location of an entity in relation to the White House.
  • 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_69c68857ffc08190857dc62cd5253777 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeef57881909245c8a5374a8111 completed March 27, 2026, 7:35 p.m.
PD Predicate disambiguation batch_69c6d7c4a18881908d267137daed828b completed March 27, 2026, 7:17 p.m.
PDg Predicate description generation batch_69c6dbbc00fc8190a18221524b774021 completed March 27, 2026, 7:34 p.m.
Created at: March 27, 2026, 2:33 p.m.