Triple

T10468314
Position Surface form Disambiguated ID Type / Status
Subject Truly, Madly, Deeply E246860 entity
Predicate producer P490 FINISHED
Object Renaissance Films E259327 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: Renaissance Films | Statement: [Truly, Madly, Deeply, producer, Renaissance Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renaissance Films
Context triple: [Truly, Madly, Deeply, producer, Renaissance Films]
  • A. Renaissance Films chosen
    Renaissance Films was a British film production and distribution company known for backing acclaimed literary and historical adaptations, particularly in collaboration with director Kenneth Branagh.
  • B. Renaissance Pictures
    Renaissance Pictures is a film and television production company best known for genre projects like the Evil Dead series and other cult horror and fantasy works.
  • C. Sunrise Films
    Sunrise Films is a film distribution company known for handling the release of independent and international movies such as "Dinner Rush."
  • D. Palace Films
    Palace Films is an Australian film distribution company known for releasing a wide range of acclaimed international and local arthouse and independent films.
  • E. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092ef810819093a4d1df83aeac09 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90dac584081909a79bc300b9338c8 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:20 p.m.