Triple

T13148387
Position Surface form Disambiguated ID Type / Status
Subject Cocaine Bear E312397 entity
Predicate ratingSource P8710 FINISHED
Object Rotten Tomatoes E126670 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: Rotten Tomatoes | Statement: [Cocaine Bear, ratingSource, Rotten Tomatoes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotten Tomatoes
Context triple: [Cocaine Bear, ratingSource, 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. Ebert
    Ebert is a German surname most notably associated with prominent political figures such as Friedrich Ebert, the first President of Germany, and his son Friedrich Ebert Jr.
  • E. 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.
  • 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: ratingSource
Context triple: [Cocaine Bear, ratingSource, Rotten Tomatoes]
  • A. ratingContext
    Indicates the situational or contextual factors under which a rating is given or applies.
  • B. rating chosen
    Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another entity.
  • C. ratingDescription
    Indicates the textual explanation or qualitative summary associated with a given rating or score.
  • D. ratingSystem
    Indicates a system or method used to assign evaluative scores or rankings to items, actions, or entities based on defined criteria.
  • E. ratingCategory
    Indicates the qualitative classification or level assigned to a rating (e.g., low, medium, high) within an evaluation or scoring system.
  • F. None of above.

Provenance (4 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf054f88190b05ced98d5a22a62 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae834908190aecb825db1d705ff completed May 3, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69d98bbd1d088190b7c69f37fc6eeb64 completed April 10, 2026, 11:46 p.m.
Created at: April 9, 2026, 9:11 p.m.