Triple

T9759694
Position Surface form Disambiguated ID Type / Status
Subject Is Paris Burning? E236637 entity
Predicate producer P490 FINISHED
Object Paul Graetz E684656 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: Paul Graetz | Statement: [Is Paris Burning?, producer, Paul Graetz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Graetz
Context triple: [Is Paris Burning?, producer, Paul Graetz]
  • A. Paul Graetz chosen
    Paul Graetz was a French film producer active in the mid-20th century, known for backing a range of notable European films.
  • B. Paul Vischer
    Paul Vischer was a member of the notable Vischer family of German sculptors active during the Renaissance period.
  • C. Robert Graf
    Robert Graf is a film and television producer best known for his work on major projects such as the sports drama "Battle of the Sexes."
  • D. Paul Gies
    Paul Gies is the son of Miep Gies, the Dutch woman who helped hide Anne Frank and preserved her diary during World War II.
  • E. Charles Waldstein
    Charles Waldstein was an American-born archaeologist and classical scholar best known for his excavations in Greece and his contributions to the study of ancient Greek art and sanctuaries.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda049995c81908569ec61805642b2 completed April 1, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2e4fa938881908253aed52870210d completed April 5, 2026, 10:40 p.m.
Created at: March 30, 2026, 8:24 p.m.