Triple

T10201073
Position Surface form Disambiguated ID Type / Status
Subject Captain Fantastic E238880 entity
Predicate reviewAggregator P23408 FINISHED
Object Rotten Tomatoes E126670 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: Rotten Tomatoes | Statement: [Captain Fantastic, reviewAggregator, Rotten Tomatoes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotten Tomatoes
Context triple: [Captain Fantastic, reviewAggregator, Rotten Tomatoes]
  • A. Rotten Tomatoes chosen
    Rotten Tomatoes is a popular online review aggregation platform that compiles film and television critics’ reviews into a percentage-based “Tomatometer” score.
  • B. Metacritic
    Metacritic is a review aggregation website that compiles and averages critics’ and users’ scores for films, games, TV shows, and music.
  • C. YTS
    YTS is the IATA airport code for Timmins Victor M. Power Airport, a regional airport serving the city of Timmins in Ontario, Canada.
  • D. At the Movies
    At the Movies was a long-running American film review television program, best known for featuring critics like Roger Ebert who popularized the "thumbs up/thumbs down" style of movie criticism.
  • E. At the Movies
    At the Movies was an Australian film review television program best known for its long-running co-hosts Margaret Pomeranz and David Stratton, who offered in-depth critiques and discussions of new cinema releases.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317f40f0c8190a3d966c934cc20f7 completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:14 p.m.