Triple

T16121200
Position Surface form Disambiguated ID Type / Status
Subject Schwimmer E391144 entity
Predicate hasNotableBearer P458 FINISHED
Object Walter Schwimmer E91750 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: Walter Schwimmer | Statement: [Schwimmer, hasNotableBearer, Walter Schwimmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Schwimmer
Context triple: [Schwimmer, hasNotableBearer, Walter Schwimmer]
  • A. Walter Schwimmer chosen
    Walter Schwimmer is an Austrian diplomat and politician best known for serving as Secretary General of the Council of Europe from 1999 to 2004.
  • B. Joseph Markovitch
    Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
  • C. Gustav Schwimmer
    Gustav Schwimmer is an individual notable enough to be recognized as a prominent bearer of the surname Schwimmer.
  • D. Otto Hunte
    Otto Hunte was a prominent German film art director and production designer best known for his influential work on classic Weimar-era films, including Fritz Lang’s Metropolis.
  • E. Sam Zimbalist
    Sam Zimbalist was an American film producer best known for overseeing the epic 1959 MGM classic "Ben-Hur" and other major Hollywood productions of the mid-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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2020198908190b56900cbfc53f25c completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeef277481908ab35bbff06c827a completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5 a.m.