Triple

T11465104
Position Surface form Disambiguated ID Type / Status
Subject Little Big Man E271760 entity
Predicate cinematographyBy P1953 FINISHED
Object Harry Stradling Jr. E115926 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: Harry Stradling Jr. | Statement: [Little Big Man, cinematographyBy, Harry Stradling Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Stradling Jr.
Context triple: [Little Big Man, cinematographyBy, Harry Stradling Jr.]
  • A. Harry Stradling Sr. chosen
    Harry Stradling Sr. was an acclaimed American cinematographer known for his lush, expressive visual style on numerous classic Hollywood films.
  • B. Harry Ratchford
    Harry Ratchford is an American screenwriter and frequent Kevin Hart collaborator known for co-writing comedy films such as "Night School."
  • C. Charles Storrs
    Charles Storrs was a benefactor and early supporter of the institution that became the University of Connecticut, for whom the town of Storrs is named.
  • D. Harry Warden
    Harry Warden is the murderous, pickaxe-wielding miner who serves as the central slasher antagonist in the My Bloody Valentine horror franchise.
  • E. Howard Bannister
    Howard Bannister is the mild-mannered, musicologist protagonist played by Ryan O'Neal in the screwball comedy film "What's Up, Doc?".
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e60415f6ac8190ad81ed0ef0a30e12 completed April 20, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:35 p.m.