Triple

T25625642
Position Surface form Disambiguated ID Type / Status
Subject Portrait of Mrs. Siddons E642421 entity
Predicate portrayedPersonEra P116916 FINISHED
Object 18th-century theatre 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: 18th-century theatre | Statement: [Portrait of Mrs. Siddons, portrayedPersonEra, 18th-century theatre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayedPersonEra
Context triple: [Portrait of Mrs. Siddons, portrayedPersonEra, 18th-century theatre]
  • A. depictedPersonEra chosen
    Indicates the historical era or time period associated with the person depicted in an image or representation.
  • B. notablePortrayalPeriod
    Indicates the time period during which a particular portrayal or depiction of something or someone is especially recognized or notable.
  • C. portrayalEndYear
    Indicates the year in which a particular portrayal of an entity (such as a role, character, or representation) concluded.
  • D. portrayedByCharacterAgeApprox
    Indicates that an entity is portrayed by a character whose age is approximately a specified value or age range.
  • E. fictionalCharacterInPeriodDepicted
    Indicates that a fictional character appears within, or is portrayed as existing in, the time period depicted by a work or representation.
  • 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_69e77e7bd4548190a0c691b8a2f27ff1 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f6691f5e188190b12c7b2eb729a45e completed May 2, 2026, 9:14 p.m.
PD Predicate disambiguation batch_69f66598d6008190a7ca8ff80399fd34 completed May 2, 2026, 8:59 p.m.
Created at: April 21, 2026, 5:14 p.m.