Triple

T18056128
Position Surface form Disambiguated ID Type / Status
Subject Twin Town E432043 entity
Predicate stars P1956 FINISHED
Object Dougray Scott 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: Dougray Scott | Statement: [Twin Town, stars, Dougray Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dougray Scott
Context triple: [Twin Town, stars, Dougray Scott]
  • A. Dougray Scott chosen
    Dougray Scott is a Scottish actor known for his versatile film and television roles, including prominent parts in projects like "Mission: Impossible 2," "Ever After," and various British dramas.
  • B. Dugald Macfadyen
    Dugald Macfadyen was a British Congregational minister, author, and biographer known for his religious writings and historical works in the late 19th and early 20th centuries.
  • C. Alastair Macfadyen
    Alastair Macfadyen is a notable individual who bears the Scottish surname Macfadyen, recognized for contributions associated with that family name.
  • D. Angus Macfadyen
    Angus Macfadyen is a Scottish actor best known for his roles in films such as "Braveheart," "Equilibrium," and "Saw III," as well as numerous television appearances.
  • E. Allan Macfadyen
    Allan Macfadyen was a Scottish bacteriologist known for his pioneering work in microbiology and infectious diseases in the late 19th and early 20th centuries.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c102d08081908d2419c898213400 completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.