Triple

T12951336
Position Surface form Disambiguated ID Type / Status
Subject Rose Tyler E309898 entity
Predicate alias P39 FINISHED
Object Bad Wolf E1010620 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: Bad Wolf | Statement: [Rose Tyler, alias, Bad Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Wolf
Context triple: [Rose Tyler, alias, Bad Wolf]
  • A. Bad Wolf chosen
    Bad Wolf is a recurring, reality-altering story arc in Doctor Who that links scattered clues across time and space to reveal Rose Tyler’s immense, time-infused power.
  • B. Bad Wolf
    Bad Wolf is a British television production company known for creating high-profile drama series such as the adaptation of Philip Pullman’s "His Dark Materials."
  • C. Dire Wolf
    "Dire Wolf" is a folk-influenced, storytelling song by the Grateful Dead, notable for its darkly whimsical lyrics and appearance on their 1970 album Workingman's Dead.
  • D. Cry Wolf
    Cry Wolf is a 1947 American film noir mystery directed by Peter Godfrey, starring Errol Flynn and Barbara Stanwyck in a suspenseful tale of deception and inheritance.
  • E. Crunch the Wolf
    Crunch the Wolf is the energetic and acrobatic official mascot of the NBA’s Minnesota Timberwolves, known for entertaining fans with high-flying dunks and crowd interaction.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1dc4c88190ab27b832d6a7c556 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dc135c819091b7708d90db25cb completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:43 p.m.