Triple

T6654772
Position Surface form Disambiguated ID Type / Status
Subject The Cabin in the Woods E150912 entity
Predicate castMember P1668 FINISHED
Object Fran Kranz E443028 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: Fran Kranz | Statement: [The Cabin in the Woods, castMember, Fran Kranz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fran Kranz
Context triple: [The Cabin in the Woods, castMember, Fran Kranz]
  • A. Fran Kranz chosen
    Fran Kranz is an American actor best known for his roles in the TV series "Dollhouse" and the horror-comedy film "The Cabin in the Woods."
  • B. Thomas Sadoski
    Thomas Sadoski is an American actor known for his roles in television series like "The Newsroom" and films such as "John Wick" and "Wild."
  • C. Ben Schwartz
    Ben Schwartz is an American actor, comedian, and voice performer known for roles in projects like Parks and Recreation and for voicing animated characters in films and television.
  • D. Greg Sanders
    Greg Sanders is a quirky, music-loving forensic scientist who evolves from a DNA lab technician to a field investigator on the TV series CSI: Crime Scene Investigation.
  • E. Marc Tarpenning
    Marc Tarpenning is an American engineer and entrepreneur best known as a co-founder of electric vehicle and clean energy company Tesla, Inc.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b049958c8190bb3ef0d4c281825b completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefffdfc8190bc191606bdb481a5 completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 2:01 p.m.