Triple

T3589409
Position Surface form Disambiguated ID Type / Status
Subject Abigail Williams E75989 entity
Predicate relative P37 FINISHED
Object Elizabeth Parris E75989 NE 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: Elizabeth Parris | Statement: [Abigail Williams, relative, Elizabeth Parris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Parris
Context triple: [Abigail Williams, relative, Elizabeth Parris]
  • A. Elizabeth Parris chosen
    Elizabeth Parris was the young daughter of Salem Village minister Samuel Parris, whose strange afflictions in 1692 helped spark the Salem witch trials.
  • B. Hazel Bennet
    Hazel Bennet was the wife of American film director and actor Lloyd Bacon, associated with Hollywood’s early studio era.
  • C. Mary Forward
    Mary Forward was the wife of prominent 19th-century American lawyer and U.S. Attorney General Jeremiah Sullivan Black.
  • D. Sybil Gerard
    Sybil Gerard is the idealistic and compassionate heroine of Benjamin Disraeli’s novel "Sybil, or The Two Nations," who embodies the social and moral conscience amid stark class divisions in 19th-century England.
  • E. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc13c9514819096adf60b15016b8b completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43305b21081909d7f78dac96ceaa8 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.