Triple

T31839387
Position Surface form Disambiguated ID Type / Status
Subject Hesther Salomon E812759 entity
Predicate discussesCaseOf P75843 FINISHED
Object Alan Strang NE NERFINISHED

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: Alan Strang | Statement: [Hesther Salomon, discussesCaseOf, Alan Strang]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: discussesCaseOf
Context triple: [Hesther Salomon, discussesCaseOf, Alan Strang]
  • A. legalCaseAlongside
    Indicates that two or more legal cases are proceeding in parallel or in coordination, such that they are related or handled together in some aspect of the legal process.
  • B. legalCase
    Indicates a relationship where a formal legal dispute or proceeding exists between parties, typically adjudicated by a court or similar authority.
  • C. investigatesCase
    Indicates that one entity conducts an investigation into a particular case involving events, issues, or individuals.
  • D. legalCaseRelatedTo
    Indicates that there is a relevant connection or association between a legal case and another entity, such as a person, organization, event, or legal matter.
  • E. discussedAs chosen
    Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
  • 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_69f348ea7ffc8190a2ab43d80277cf59 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aff758708190b6178dcf92ece7da completed May 3, 2026, 2:16 a.m.
PD Predicate disambiguation batch_69f6aca59d4881908d14ed47962703bd completed May 3, 2026, 2:02 a.m.
Created at: April 30, 2026, 11:49 p.m.