Triple

T17961627
Position Surface form Disambiguated ID Type / Status
Subject Joe Don Baker E449096 entity
Predicate notableWork P4 FINISHED
Object Eischied 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: Eischied | Statement: [Joe Don Baker, notableWork, Eischied]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eischied
Context triple: [Joe Don Baker, notableWork, Eischied]
  • A. Eischied chosen
    Eischied is an American crime drama television series from the late 1970s that follows a tough but compassionate New York City police chief.
  • B. Eichigt
    Eichigt is a small municipality in the Vogtland region of Saxony, Germany, near the Czech border.
  • C. Eisten
    Eisten is a small Swiss municipality located in the canton of Valais.
  • D. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • E. Estreicher
    Estreicher is a Polish family name most notably associated with Karol Estreicher Sr., a prominent 19th-century bibliographer and historian of Polish literature.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b132cc10819088526a0b4b098d69 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.