Triple

T87940
Position Surface form Disambiguated ID Type / Status
Subject Tituba E1767 entity
Predicate accused P2238 FINISHED
Object Sarah Good E11591 NE FINISHED

How this triple was built (3 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: Sarah Good | Statement: [Tituba, accused, Sarah Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Good
Context triple: [Tituba, accused, Sarah Good]
  • A. Sarah Good chosen
    Sarah Good was one of the first women accused and executed for witchcraft during the 1692 Salem witch trials in colonial Massachusetts.
  • B. Rebecca Nurse
    Rebecca Nurse was a respected elderly Puritan woman in colonial Massachusetts who became one of the most famous individuals executed during the Salem witch trials.
  • C. Martha Corey
    Martha Corey was a devout, outspoken resident of Salem Village whose 1692 execution for witchcraft became one of the most infamous injustices of the Salem witch trials.
  • D. Abigail Williams
    Abigail Williams is a central, manipulative accuser in Arthur Miller’s play *The Crucible*, whose lies help fuel the Salem witch trials.
  • E. Bridget Bishop
    Bridget Bishop was the first person executed during the 1692 Salem witch trials in colonial Massachusetts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accused
Context triple: [Tituba, accused, Sarah Good]
  • A. firstAccused
    Indicates that the subject is the primary or earliest individual formally charged or blamed in a particular case or incident.
  • B. accusationType
    Indicates the specific category or nature of an accusation made by one party against another.
  • C. prosecuted
    Indicates that legal authorities have formally brought criminal charges against an entity and pursued a case against them in a court of law.
  • D. numberOfPeopleAccused
    Indicates the count of individuals who are formally alleged to have committed a particular act or offense.
  • E. defendant chosen
    Indicates that an entity is the party accused or sued in a legal action or proceeding.
  • F. None of above.

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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2503d304c8190a0034ffa4a38a501 completed Feb. 28, 2026, 2:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69a302803f50819081a480c33f08b68a completed Feb. 28, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69a24eb6da2c8190a33d144d219f7abe completed Feb. 28, 2026, 2:11 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.