Triple

T3067083
Position Surface form Disambiguated ID Type / Status
Subject David Parfitt E62128 entity
Predicate coFounded P104 FINISHED
Object Trademark Films E257591 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: Trademark Films | Statement: [David Parfitt, coFounded, Trademark Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trademark Films
Context triple: [David Parfitt, coFounded, Trademark Films]
  • A. Trademark Films chosen
    Trademark Films is a British film production company known for producing feature films including the biographical drama "My Week with Marilyn."
  • B. Brand
    Brand is a key astronaut and scientist in the film "Interstellar," serving as one of the central figures in humanity's mission to find a new habitable world.
  • C. Trademark Act of Japan
    The Trademark Act of Japan is the primary Japanese statute governing the registration, protection, and enforcement of trademark rights within Japan.
  • D. Public Domain Mark
    The Public Domain Mark is a Creative Commons tool used to label works that are believed to be free of known copyright restrictions worldwide.
  • E. Marken
    Marken is a small, picturesque former island village in the Netherlands known for its traditional wooden houses, fishing heritage, and distinctive cultural character.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fea06881909e5251eea26599ac completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f87bec6c8190ae928fc7c4467859 completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.