Triple

T6635566
Position Surface form Disambiguated ID Type / Status
Subject The Extra Day E150440 entity
Predicate hasCastMember P2308 FINISHED
Object Russell Napier E606438 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: Russell Napier | Statement: [The Extra Day, hasCastMember, Russell Napier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Napier
Context triple: [The Extra Day, hasCastMember, Russell Napier]
  • A. Russell Napier chosen
    Russell Napier was a Scottish actor known for his character roles in mid-20th-century British film and television.
  • B. Alan Napier
    Alan Napier was an English character actor best known for playing Alfred Pennyworth in the 1960s Batman television series.
  • C. D. J. Opperman
    D. J. Opperman was a prominent 20th-century Afrikaans poet and academic, widely regarded as one of the most influential figures in modern Afrikaans literature.
  • D. Derek Nimmo
    Derek Nimmo was a British actor and comedian best known for his portrayals of bumbling upper-class clergymen and his frequent appearances on BBC radio and television panel shows.
  • E. Russell Hornsby
    Russell Hornsby is an American actor known for his work in film, television, and theater, including prominent roles in projects like the drama film "Fences" and the TV series "Grimm."
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcd9a608190a949eb55766d5701 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eeed01608190bbc6461ac8c3cadb completed March 27, 2026, 8:56 p.m.
Created at: March 27, 2026, 1:59 p.m.