Triple

T17424892
Position Surface form Disambiguated ID Type / Status
Subject Paul Lambert E423713 entity
Predicate fullName P16 FINISHED
Object Paul Lambert 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: Paul Lambert | Statement: [Paul Lambert, fullName, Paul Lambert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Lambert
Context triple: [Paul Lambert, fullName, Paul Lambert]
  • A. Paul Lambert chosen
    Paul Lambert is a Scottish former professional footballer and manager best known for his successful spells in charge of clubs such as Norwich City and Aston Villa in English football.
  • B. Peter Lambert
    Peter Lambert is a film editor best known for his work on the satirical political comedy "The Death of Stalin."
  • C. Stephen Lambert
    Stephen Lambert is a British television producer and executive known for creating popular reality and factual entertainment formats such as "Gogglebox."
  • D. Hugh Lambert
    Hugh Lambert was an American dancer and choreographer best known for his work in film and television musicals and for being married to singer Nancy Sinatra.
  • E. Patrick Lyster
    Patrick Lyster is a South African actor known for his roles in film and television, including a supporting part in the apartheid-era drama "Goodbye Bafana."
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4423999ac81909fdbd8bcffcb30c9 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.