Triple

T12667189
Position Surface form Disambiguated ID Type / Status
Subject Miguel Sapochnik E302582 entity
Predicate directedEpisodeOf P17519 FINISHED
Object Banshee E618112 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: Banshee | Statement: [Miguel Sapochnik, directedEpisodeOf, Banshee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banshee
Context triple: [Miguel Sapochnik, directedEpisodeOf, Banshee]
  • A. Banshee chosen
    Banshee is an American action-drama television series known for its violent, stylized storytelling about an ex-con assuming a dead sheriff’s identity in a small Amish-country town.
  • B. Banshee
    The Banshee is a fast, highly maneuverable Covenant ground-attack aircraft in the Halo video game series, known for its agile flight and plasma-based weaponry.
  • C. Banshee (Marvel Comics character)
    Banshee is a Marvel Comics mutant superhero best known as a member of the X-Men who uses his powerful sonic scream for flight and combat.
  • D. Wraith
    Wraith is a horror comic series by Joe Hill that expands on the sinister world and characters of his novel "NOS4A2."
  • E. Wraith
    The Wraith are a vampiric, hive-based alien species in Stargate Atlantis who feed on human life-force and serve as the show's primary recurring antagonists.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6688bfc048190970d281e66c34cdc completed May 2, 2026, 9:11 p.m.
Created at: April 9, 2026, 5:20 p.m.