Triple

T10394985
Position Surface form Disambiguated ID Type / Status
Subject Frank (2014 film) E244987 entity
Predicate producer P490 FINISHED
Object Tessa Ross E449176 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: Tessa Ross | Statement: [Frank (2014 film), producer, Tessa Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tessa Ross
Context triple: [Frank (2014 film), producer, Tessa Ross]
  • A. Tessa Ross chosen
    Tessa Ross is a prominent British film and television producer known for backing acclaimed, often auteur-driven projects across UK cinema and high-end TV drama.
  • B. Tessa Wheeler
    Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
  • C. Tessa Humphries
    Tessa Humphries is an Australian actress and the daughter of famed comedian and satirist Barry Humphries.
  • D. Tessa Berens
    Tessa Berens is a fictional character from the work titled "The Silence."
  • E. Lindsay Pearce
    Lindsay Pearce is an American actress and singer best known for her appearances on "The Glee Project" and "Glee," as well as for her work in musical theatre.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9ce6bb08190bfeaba98a126526d completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69de21d85ee08190adfab9926fea1709 completed April 14, 2026, 11:15 a.m.
Created at: April 6, 2026, 12:06 p.m.