Triple

T6488937
Position Surface form Disambiguated ID Type / Status
Subject The Circus E147984 entity
Predicate cinematographyBy P1953 FINISHED
Object Roland Totheroh E221158 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: Roland Totheroh | Statement: [The Circus, cinematographyBy, Roland Totheroh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland Totheroh
Context triple: [The Circus, cinematographyBy, Roland Totheroh]
  • A. Roland Totheroh chosen
    Roland Totheroh was an American cinematographer best known for his long collaboration with Charlie Chaplin, shaping the visual style of many of Chaplin’s classic films.
  • B. Roland Mack
    Roland Mack is a German entrepreneur and amusement park pioneer best known as the co-founder and longtime driving force behind Europa-Park, one of Europe’s largest theme parks.
  • C. Roland Anderson
    Roland Anderson was an American art director known for his work on numerous Hollywood films from the 1930s through the 1960s, earning multiple Academy Award nominations for his production design.
  • D. Roland Gross
    Roland Gross was a film editor active in mid-20th-century American cinema, known for his work on various Hollywood productions.
  • E. Dennis Virkler
    Dennis Virkler was an American film editor known for his work on numerous Hollywood features, including major comedies and action films.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a97fff88190b6f993c14df62649 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653ba03288190ba4e4ce99d0ba32e completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:52 p.m.