Triple

T14653551
Position Surface form Disambiguated ID Type / Status
Subject Orphan Black E344050 entity
Predicate executiveProducer P7225 FINISHED
Object Graeme Manson E1114681 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: Graeme Manson | Statement: [Orphan Black, executiveProducer, Graeme Manson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graeme Manson
Context triple: [Orphan Black, executiveProducer, Graeme Manson]
  • A. Graeme Manson chosen
    Graeme Manson is a Canadian screenwriter and producer best known for co-creating the science fiction television series Orphan Black.
  • B. Graeme Ferguson
    Graeme Ferguson was a Canadian filmmaker and co-founder of the IMAX large-format cinema technology.
  • C. Mark Dargus
    Mark Dargus is a character associated with the crime world surrounding Ordell Robbie in the Elmore Leonard–inspired universe.
  • D. Graeme Goodall
    Graeme Goodall was an influential Australian-born recording engineer and music industry executive who played a key role in developing Jamaica’s recording scene and co-founding major labels that helped bring reggae to international audiences.
  • E. Graeme Clifford
    Graeme Clifford is an Australian film editor and director known for his work on influential films of the 1970s and 1980s.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb518f7dc8190877997ea4cd3eed2 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07acd748190b2821dee21ecd740 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:27 a.m.