Triple

T23204440
Position Surface form Disambiguated ID Type / Status
Subject Dan Jenkins E580410 entity
Predicate familyName P18 FINISHED
Object Jenkins 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: Jenkins | Statement: [Dan Jenkins, familyName, Jenkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenkins
Context triple: [Dan Jenkins, familyName, Jenkins]
  • A. Jenkins chosen
    Jenkins is a common English-language surname borne by numerous notable individuals across sports, politics, arts, and other fields.
  • B. Jenkins
    Jenkins is the enigmatic, scholarly caretaker of the Library in the fantasy-adventure TV series "The Librarians," known for his vast knowledge of magic and history.
  • C. Jenkins
    Jenkins is a fictional character who serves as the main protagonist in the story "City."
  • D. Jenkins
    Jenkins is an open-source automation server widely used for continuous integration and continuous delivery (CI/CD) in software development.
  • E. Gerrit
    Gerrit is a masculine given name of Germanic origin, notably borne by American baseball pitcher Gerrit Cole.
  • 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907b3e88819088a397a99456bf77 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.