Triple

T12683389
Position Surface form Disambiguated ID Type / Status
Subject The Rover E303002 entity
Predicate productionCompany P490 FINISHED
Object Porchlight Films E903263 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: Porchlight Films | Statement: [The Rover, productionCompany, Porchlight Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porchlight Films
Context triple: [The Rover, productionCompany, Porchlight Films]
  • A. Porchlight Films chosen
    Porchlight Films is an Australian film production company known for producing acclaimed independent features and television projects.
  • B. Grass Root Film Company
    Grass Root Film Company is an Indian film production house known for backing acclaimed Tamil-language films, established by director Vetrimaaran.
  • C. Pearl Street Films
    Pearl Street Films is a film and television production company co-founded by actors Ben Affleck and Matt Damon, known for producing a range of high-profile projects.
  • D. Greenpoint Films
    Greenpoint Films is a film production company best known for producing the acclaimed period drama "Enchanted April."
  • E. Katalyst Films
    Katalyst Films is a production company co-founded by Ashton Kutcher, best known for creating and producing popular prank and reality television shows and digital media content.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a733a48190b55d296573c86eaf completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.