Triple

T15441090
Position Surface form Disambiguated ID Type / Status
Subject Matthew Macfadyen E369901 entity
Predicate familyName P18 FINISHED
Object Macfadyen E369901 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: Macfadyen | Statement: [Matthew Macfadyen, familyName, Macfadyen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macfadyen
Context triple: [Matthew Macfadyen, familyName, Macfadyen]
  • A. Macfadyen chosen
    Macfadyen is a surname most prominently associated with British actor Matthew Macfadyen, known for roles in works such as "Pride & Prejudice" and "Succession."
  • B. Malcolm MacRury
    Malcolm MacRury is a Canadian television writer and producer known for his work on series such as Republic of Doyle and other acclaimed dramas.
  • C. MacLachlin
    MacLachlin is a Scottish surname associated as a sept with Clan MacLachlan of the Scottish Highlands.
  • D. MacNicol
    MacNicol is a Scottish surname associated as a sept with Clan Buchanan in the Scottish Highlands.
  • E. Angus MacKay
    Angus MacKay was a British character actor best known to science fiction fans for his roles in the classic Doctor Who television series.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03eddf258819082679970b7d2b6af completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf7ce7c8190810ef35b6e37254d completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.