Triple

T9279150
Position Surface form Disambiguated ID Type / Status
Subject Deedle-Dee Productions E223025 entity
Predicate collaboratedWith P435 FINISHED
Object Fremulon E129931 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: Fremulon | Statement: [Deedle-Dee Productions, collaboratedWith, Fremulon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fremulon
Context triple: [Deedle-Dee Productions, collaboratedWith, Fremulon]
  • A. Fremulon chosen
    Fremulon is a television production company founded by Michael Schur, best known for producing acclaimed comedy series such as Brooklyn Nine-Nine.
  • B. Eltigen
    Eltigen is a coastal village on the Kerch Peninsula in Crimea, historically notable as a key site of Soviet amphibious landings during World War II.
  • C. Fideris
    Fideris is a small Swiss municipality in the canton of Graubünden, known for its alpine setting in the Prättigau valley.
  • D. Norvos
    Norvos is a theocratic, heavily fortified Free City in northern Essos known for its bearded priesthood and strict, austere culture.
  • E. Milorg
    Milorg was the main Norwegian military resistance organization during World War II, coordinating sabotage, intelligence, and preparations for liberation under German occupation.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07cc79508190954defbef0d82a64 completed April 1, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c4f254c819083301449c3e4b11d completed April 4, 2026, 5:06 a.m.
Created at: March 30, 2026, 7:34 p.m.