Triple

T13257934
Position Surface form Disambiguated ID Type / Status
Subject Will Yun Lee E315710 entity
Predicate appearedIn P795 FINISHED
Object Witchblade E451110 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: Witchblade | Statement: [Will Yun Lee, appearedIn, Witchblade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Witchblade
Context triple: [Will Yun Lee, appearedIn, Witchblade]
  • A. Witchblade chosen
    Witchblade is a supernatural comic book series, later adapted into television, centered on a mystical, sentient gauntlet that grants its female wielder powerful abilities.
  • B. Witchhammer
    Witchhammer is a 1969 Czechoslovak historical drama film directed by Otakar Vávra that portrays the brutal witch trials in 17th-century Moravia.
  • C. Lady of Rage
    Lady of Rage is an American rapper and actress best known for her work with Death Row Records in the 1990s, including standout appearances alongside Snoop Dogg and Dr. Dre.
  • D. Burn the Witch
    "Burn the Witch" is a 2016 Radiohead song known for its tense, orchestral arrangement and politically charged lyrics critiquing authoritarianism and social paranoia.
  • E. Our Lady of Darkness
    Our Lady of Darkness is a 1977 urban fantasy–horror novel by Fritz Leiber that blends occult lore with modern San Francisco settings to explore psychological and supernatural terrors.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98f7614fc8190a1cac076d706e9aa completed April 11, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a444b4c8190a5dd95460ac96cc7 completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:25 p.m.