Triple

T14483673
Position Surface form Disambiguated ID Type / Status
Subject The Spy Who Came in from the Cold (1965 film) E359172 entity
Predicate starring P1507 FINISHED
Object Sam Wanamaker E806094 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: Sam Wanamaker | Statement: [The Spy Who Came in from the Cold (1965 film), starring, Sam Wanamaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Wanamaker
Context triple: [The Spy Who Came in from the Cold (1965 film), starring, Sam Wanamaker]
  • A. Sam Wanamaker chosen
    Sam Wanamaker was an American actor and director best known for his work in film and television and for leading the reconstruction of Shakespeare’s Globe Theatre in London.
  • B. Neil MacGregor
    Neil MacGregor is a British art historian and museum director best known for his influential leadership of major cultural institutions and his work presenting world history through objects.
  • C. Michael Wood
    Michael Wood is a British historian and broadcaster known for his popular television documentaries and books on English history.
  • D. David Sheffield
    David Sheffield is an American comedy writer best known for co-writing several Eddie Murphy films and contributing to classic Saturday Night Live sketches.
  • E. Martin Kemp
    Martin Kemp is a British art historian and Leonardo da Vinci specialist renowned for his scholarship on Renaissance art and the relationship between art and science.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924d7f4c8190b1f62b5ffe1ff649 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a73cf48190811d6de182e891c4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.