Triple

T8449991
Position Surface form Disambiguated ID Type / Status
Subject Jitney E199775 entity
Predicate featuresCharacter P626 FINISHED
Object Rena E442946 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: Rena | Statement: [Jitney, featuresCharacter, Rena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rena
Context triple: [Jitney, featuresCharacter, Rena]
  • A. Rena chosen
    Rena is a Norwegian town that hosts one of the campuses of Inland Norway University of Applied Sciences.
  • B. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • C. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • D. Marina
    Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
  • E. Lisberg
    Lisberg is a Danish-origin surname most notably associated with figures such as Jens Oliver Lisberg.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44707b88190b3d8b30c45ef4496 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.