Triple

T23033250
Position Surface form Disambiguated ID Type / Status
Subject Wanamaker E573521 entity
Predicate hasNotableBearer P458 FINISHED
Object Sam Wanamaker 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: Sam Wanamaker | Statement: [Wanamaker, hasNotableBearer, Sam Wanamaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Wanamaker
Context triple: [Wanamaker, hasNotableBearer, 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. Glyn Daniel
    Glyn Daniel was a Welsh archaeologist and academic best known for his work on European prehistory and for popularizing archaeology through his books and BBC television programs.
  • D. Michael Wood
    Michael Wood is a British historian and broadcaster known for his popular television documentaries and books on English history.
  • E. Michael Wood
    Michael Wood is a musician best known as a member of the American garage rock band The Shadows of Knight.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18482e78c8190a89681eec2edb812 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:53 p.m.