Triple

T24424121
Position Surface form Disambiguated ID Type / Status
Subject Tilton v. Beecher E615808 entity
Predicate hasPlaintiffRole P16985 FINISHED
Object Theodore Tilton was the husband of Elizabeth Tilton 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: Theodore Tilton was the husband of Elizabeth Tilton | Statement: [Tilton v. Beecher, hasPlaintiffRole, Theodore Tilton was the husband of Elizabeth Tilton]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlaintiffRole
Context triple: [Tilton v. Beecher, hasPlaintiffRole, Theodore Tilton was the husband of Elizabeth Tilton]
  • A. legalCaseRole chosen
    Indicates the specific role or capacity an entity holds within a legal case, such as plaintiff, defendant, judge, or attorney.
  • B. partyTypePlaintiffs
    Indicates the classification or category of the parties serving as plaintiffs in a legal action.
  • C. roleAtCourt
    Indicates the specific position, function, or status an entity holds within a court or courtly setting.
  • D. roleInPLO
    Indicates that an entity holds or held a specific role or position within the Palestine Liberation Organization (PLO).
  • E. leadPlaintiffIn
    Indicates that one entity serves as the primary or representative plaintiff in a legal case involving another entity.
  • 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_69e2d7eadb248190a867130fe45f0388 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f296a4e3e4819094ac0941da5ca641 completed April 29, 2026, 11:39 p.m.
PD Predicate disambiguation batch_69f287cc4fd4819081e93cc638d9512d completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 2:14 a.m.