Triple

T523885
Position Surface form Disambiguated ID Type / Status
Subject John Wick: Chapter 2 E10875 entity
Predicate basedOnCharacterBy P15277 FINISHED
Object Derek Kolstad E66905 NE FINISHED

How this triple was built (3 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: Derek Kolstad | Statement: [John Wick: Chapter 2, basedOnCharacterBy, Derek Kolstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derek Kolstad
Context triple: [John Wick: Chapter 2, basedOnCharacterBy, Derek Kolstad]
  • A. Derek Kolstad chosen
    Derek Kolstad is an American screenwriter best known as the creator and primary writer of the John Wick action film franchise.
  • B. Paul Vogel
    Paul Vogel was an American cinematographer best known for his work on classic Hollywood films, including the Oscar-winning "Battleground."
  • C. Steven S. DeKnight
    Steven S. DeKnight is an American writer, producer, and director best known for his work on genre television series like Spartacus and Marvel's Daredevil, as well as his feature film directing.
  • D. Michael Klingensmith
    Michael Klingensmith is an American media executive best known for helping launch and lead major magazine brands, including playing a key role in the creation of Entertainment Weekly.
  • E. Craig Zadan
    Craig Zadan was an American film, television, and theater producer best known for his work on musical adaptations and live TV musicals, including projects like "Chicago" and NBC's live musical events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnCharacterBy
Context triple: [John Wick: Chapter 2, basedOnCharacterBy, Derek Kolstad]
  • A. characterBasedOn
    Indicates that one character is modeled, inspired, or derived from another real or fictional entity.
  • B. character2
    Indicates that a second character entity is involved in the relationship or context defined by the predicate.
  • C. characterIn
    Indicates that an entity appears as a character within a specified work, story, or narrative.
  • D. basedOnText
    Indicates that something is derived, adapted, or developed from a specific text source.
  • E. characterizedBy
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • F. None of above. chosen

Provenance (5 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1b656c08190b387f21b06d99e68 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c66d76588190864ac6a992c44545 completed March 1, 2026, 11:06 p.m.
PD Predicate disambiguation batch_69a2f018129c81909494450fcba71b59 completed Feb. 28, 2026, 1:39 p.m.
PDg Predicate description generation batch_69a2f0f73af88190bc8f00c2047cc8b8 completed Feb. 28, 2026, 1:43 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.