Triple

T20855563
Position Surface form Disambiguated ID Type / Status
Subject Alicia Witt E513469 entity
Predicate familyName P18 FINISHED
Object Witt 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: Witt | Statement: [Alicia Witt, familyName, Witt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Witt
Context triple: [Alicia Witt, familyName, Witt]
  • A. Witt chosen
    Witt is a surname most prominently associated with American television and film producer Paul Junger Witt, known for creating and producing numerous popular TV series.
  • B. WIT
    WIT is the New York Stock Exchange ticker symbol for Wipro Limited, a major Indian multinational information technology services and consulting company.
  • C. Wirth
    Wirth is a Swiss surname most notably associated with computer scientist Niklaus Wirth, the designer of several influential programming languages.
  • D. Wört
    Wört is a small municipality in the Ostalbkreis district of the state of Baden-Württemberg in southern Germany.
  • E. Wisser
    The Wisser is a river in Germany that serves as a right-bank tributary of the Sieg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3a81ac4819084a07625b8ed4ec5 completed April 21, 2026, 12:24 a.m.
Created at: April 16, 2026, 12:44 p.m.