Triple

T11871533
Position Surface form Disambiguated ID Type / Status
Subject Les Girls E282417 entity
Predicate cinematographyBy P1953 FINISHED
Object Robert Surtees E55676 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: Robert Surtees | Statement: [Les Girls, cinematographyBy, Robert Surtees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Surtees
Context triple: [Les Girls, cinematographyBy, Robert Surtees]
  • A. Robert Surtees chosen
    Robert Surtees was an acclaimed American cinematographer known for his richly photographed Hollywood classics and multiple Academy Award-winning work.
  • B. William Carleton
    William Carleton was a 19th-century American businessman and philanthropist whose significant financial support led to the renaming of Carleton College in his honor.
  • C. Henry Sharp
    Henry Sharp was an American cinematographer known for his work on numerous early 20th-century films, including the adventure drama "The Iron Mask."
  • D. William Makepeace Thackeray
    William Makepeace Thackeray was a 19th-century English novelist best known for his satirical works, particularly the novel "Vanity Fair."
  • E. Thomas Love Peacock
    Thomas Love Peacock was a 19th-century English novelist, poet, and satirist known for his witty, dialogue-driven novels and his close friendship with Percy Bysshe Shelley.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be18b7d48190b7fb1c3a67a891ed completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281b0969c8190a8c0a01ca292cc84 completed April 29, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:43 p.m.