Triple

T11563474
Position Surface form Disambiguated ID Type / Status
Subject Sylvanas Windrunner E274197 entity
Predicate title P38 FINISHED
Object Banshee Queen E932395 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 Queen | Statement: [Sylvanas Windrunner, title, Banshee Queen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Banshee Queen
Context triple: [Sylvanas Windrunner, title, Banshee Queen]
  • A. Banshee Queen chosen
    The Banshee Queen is the fearsome undead monarch who rules over the Forsaken, a faction of free-willed undead in the Warcraft universe.
  • B. Cry of the Banshee
    Cry of the Banshee is a 1970 British horror film starring Vincent Price, blending witchcraft, revenge, and supernatural terror in a grim Elizabethan setting.
  • C. 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.
  • D. White Demon
    White Demon is a formidable mythical monster from the Persian epic Shahnameh, best known as the fearsome adversary slain by the hero Rostam.
  • E. Farewell, My Queen
    Farewell, My Queen is a French historical drama film that portrays the final days of Marie Antoinette’s reign at Versailles through the perspective of one of her devoted servants.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd2016481909b33848af3d1d6c1 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e89e73b481908175576f4ec8d39a completed April 21, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:37 p.m.