Triple

T18856187
Position Surface form Disambiguated ID Type / Status
Subject David Palmer E461174 entity
Predicate inUniverseSuccessor P78292 FINISHED
Object Charles Logan 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: Charles Logan | Statement: [David Palmer, inUniverseSuccessor, Charles Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Logan
Context triple: [David Palmer, inUniverseSuccessor, Charles Logan]
  • A. Charles Logan chosen
    Charles Logan is a fictional U.S. President and recurring antagonist in the television series "24," known for his corruption, cowardice, and involvement in high-level conspiracies.
  • B. Jimmy Logan
    Jimmy Logan is the down-on-his-luck West Virginian construction worker who masterminds the NASCAR heist at the center of the film "Logan Lucky."
  • C. Jimmy Logan
    Jimmy Logan was a Scottish comedian and actor known for his work in film, television, and theatre, particularly in British comedy.
  • D. Lafayette Reynolds
    Lafayette Reynolds is a flamboyant, sharp-tongued short-order cook and medium on the HBO vampire drama series "True Blood."
  • E. Alexander Hays
    Alexander Hays was a Union Army general during the American Civil War, noted for his leadership and bravery in key battles such as Gettysburg.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05d0bb8819094d0447441f85b57 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.