Triple

T2087989
Position Surface form Disambiguated ID Type / Status
Subject Hollywood Walk of Fame E32598 entity
Predicate hasDesigner P184 FINISHED
Object Oliver Weismuller E32598 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: Oliver Weismuller | Statement: [Hollywood Walk of Fame, hasDesigner, Oliver Weismuller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oliver Weismuller
Context triple: [Hollywood Walk of Fame, hasDesigner, Oliver Weismuller]
  • A. Oliver Weismuller chosen
    Oliver Weismuller was the designer responsible for creating the iconic layout and visual concept of the Hollywood Walk of Fame.
  • B. Johnny Weissmuller
    Johnny Weissmuller was an Olympic gold medal–winning swimmer and iconic American actor best known for portraying Tarzan in a series of classic 1930s and 1940s films.
  • C. Richard Powell
    Richard Powell is an architect best known as one of the founding partners of the acclaimed architecture firm Bohlin Cywinski Jackson.
  • D. Errol Flynn
    Errol Flynn was a charismatic Australian-American film star of the 1930s and 1940s, best known for his swashbuckling roles in adventure films such as "The Adventures of Robin Hood."
  • E. Roy Harlow
    Roy Harlow was the husband of silent film actress Marie Mosquini, known primarily in relation to her career in early American cinema.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba712388819091d68a4bb99f6b17 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2742834c8190ad9be71128959e0c completed March 9, 2026, 1:49 a.m.
Created at: March 4, 2026, 7:43 p.m.