Triple

T1408900
Position Surface form Disambiguated ID Type / Status
Subject Fernwood 2 Night E31758 entity
Predicate featuresCharacter P626 FINISHED
Object Barth Gimble E161516 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: Barth Gimble | Statement: [Fernwood 2 Night, featuresCharacter, Barth Gimble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barth Gimble
Context triple: [Fernwood 2 Night, featuresCharacter, Barth Gimble]
  • A. Barth Gimble chosen
    Barth Gimble is the smarmy, fast-talking fictional talk-show host played by Martin Mull on the satirical 1970s television series "Fernwood 2 Night."
  • B. Errol
    Errol is a masculine given name of English origin, often used as a first name in various English-speaking countries.
  • C. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • D. Gerald
    Gerald is the birth name of Jerry Brown, the longtime Democratic politician and former governor of California.
  • E. Barry
    Barry is a dark comedy-drama television series that follows a depressed hitman who discovers a passion for acting while trying to escape his violent past.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3c10f44819085e1c4601423740d completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015a52a88190933e7337067e5364 completed March 8, 2026, 4:55 a.m.
Created at: March 1, 2026, 7:59 p.m.