Triple

T1749643
Position Surface form Disambiguated ID Type / Status
Subject Mack Gerhardt E38409 entity
Predicate spouse P13 FINISHED
Object Tiffy Gerhardt E230330 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: Tiffy Gerhardt | Statement: [Mack Gerhardt, spouse, Tiffy Gerhardt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiffy Gerhardt
Context triple: [Mack Gerhardt, spouse, Tiffy Gerhardt]
  • A. Tiffy Gerhardt chosen
    Tiffy Gerhardt is a central character in the television drama series "The Unit," known for her role as the outspoken and resilient wife of one of the elite soldiers.
  • B. Joanne Schieble
    Joanne Schieble is an American woman best known as the biological mother of Apple co-founder Steve Jobs.
  • C. Anna Steiger
    Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
  • D. Tina Hirsch
    Tina Hirsch is an American film editor known for her work on numerous feature films and television projects.
  • E. Annette Ziegler
    Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64108a208190ae7190065818e42c completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae303ee60c819093a70e0e6a431c01 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:31 p.m.