Triple

T4332397
Position Surface form Disambiguated ID Type / Status
Subject Exotica E96782 entity
Predicate cinematographyBy P1953 FINISHED
Object Paul Sarossy E223307 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 Sarossy | Statement: [Exotica, cinematographyBy, Paul Sarossy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Sarossy
Context triple: [Exotica, cinematographyBy, Paul Sarossy]
  • A. Paul Sarossy chosen
    Paul Sarossy is a Canadian cinematographer known for his frequent collaborations with director Atom Egoyan and his work on numerous acclaimed films and television projects.
  • B. Oscar Riedener
    Oscar Riedener was a Swiss-born designer for Tiffany & Co. best known for creating the iconic Vince Lombardi Trophy awarded to the Super Bowl champion.
  • C. Otto Laporte
    Otto Laporte was a German-American physicist known for his contributions to quantum mechanics and molecular spectroscopy.
  • D. Fritz de Quervain
    Fritz de Quervain was a Swiss surgeon best known for describing de Quervain's tenosynovitis, a common tendon disorder of the wrist.
  • E. Jules Repond
    Jules Repond was a Swiss military officer best known for redesigning and modernizing the distinctive Renaissance-style uniforms of the Vatican's Swiss Guard in the early 20th century.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3514dc588819086a4c6d585c1b5b1 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db9c1a90819083d0889a65f04af2 completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:13 p.m.