Triple

T10175962
Position Surface form Disambiguated ID Type / Status
Subject Rufus Sewell E235851 entity
Predicate notableWork P4 FINISHED
Object Old E724900 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: Old | Statement: [Rufus Sewell, notableWork, Old]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old
Context triple: [Rufus Sewell, notableWork, Old]
  • A. Old chosen
    "Old" is a 2021 psychological horror thriller film written and directed by M. Night Shyamalan about a family on a secluded beach where rapid aging turns a single day into a lifetime.
  • B. Oude
    Oude is an alternative name for Oudh, a historic region in northern India known for its rich cultural heritage and former princely state status under British rule.
  • C. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • D. Old Q
    Old Q was the popular nickname of William Douglas, 4th Duke of Queensberry, an 18th-century Scottish nobleman notorious in London society for his immense wealth, gambling, and libertine lifestyle.
  • E. Old-ish
    Old-ish is a planned television sitcom set in the Black-ish universe, focusing on the lives and relationship of the grandparents characters.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd3a2688190bce277bffffcbf8b completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301232e5c8190ad80c4e78681994c completed April 6, 2026, 12:41 a.m.
Created at: March 30, 2026, 9:11 p.m.