Triple

T22845842
Position Surface form Disambiguated ID Type / Status
Subject The Son of the Sheik E566212 entity
Predicate filmEditingBy P14416 FINISHED
Object Barclay Wilson NE NERFINISHED

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: Barclay Wilson | Statement: [The Son of the Sheik, filmEditingBy, Barclay Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barclay Wilson
Context triple: [The Son of the Sheik, filmEditingBy, Barclay Wilson]
  • A. Barclay Wilson chosen
    Barclay Wilson was a film editor known for his work on early 20th-century cinema, including the silent adventure-romance "The Son of the Sheik."
  • B. Georges Wilson
    Georges Wilson was a prominent French actor and theatre director, notably associated with the Comédie-Française and the Théâtre National de Chaillot.
  • C. Nathaniel Wilson
    Nathaniel Wilson is a daemon character in Deborah Harkness’s All Souls Trilogy, notably appearing in the novel "A Discovery of Witches."
  • D. Marcus Wilson
    Marcus Wilson is a television producer best known for his work on the British sci-fi series Doctor Who.
  • E. Allan Wilks
    Allan Wilks is a statistician and software developer best known for co-developing the S programming language at Bell Labs, which heavily influenced modern statistical computing and the creation of R.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e882b148190985c085bb1a92aae completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.