Triple

T14044741
Position Surface form Disambiguated ID Type / Status
Subject Hand of God E337927 entity
Predicate reviewAggregationSite 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: [Hand of God, reviewAggregationSite, Rotten Tomatoes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rotten Tomatoes
Context triple: [Hand of God, reviewAggregationSite, 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. Vintry
    Vintry is one of the historic wards of the City of London, traditionally associated with the wine trade along the River Thames.
  • E. 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.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312b94308190bd0961f5bc719c7b completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34148348190a8c67e035646e431 completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.