Triple

T6514945
Position Surface form Disambiguated ID Type / Status
Subject Commander Schultz E148231 entity
Predicate portrayedBy P1507 FINISHED
Object Reginald Gardiner E234313 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: Reginald Gardiner | Statement: [Commander Schultz, portrayedBy, Reginald Gardiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reginald Gardiner
Context triple: [Commander Schultz, portrayedBy, Reginald Gardiner]
  • A. Reginald Gardiner chosen
    Reginald Gardiner was a British-born actor and comedian known for his sophisticated comic roles in Hollywood films of the 1930s and 1940s.
  • B. Reginald Palmer
    Reginald Palmer was a Grenadian politician who served as the country’s Governor-General, acting as the representative of the British monarch in Grenada.
  • C. Reginald Warneford
    Reginald Warneford was a British World War I aviator and Victoria Cross recipient renowned for being the first pilot to destroy a German Zeppelin in mid-air.
  • D. Alfred Darbyshire
    Alfred Darbyshire was a prominent 19th-century English architect and theatre designer known for his influential work on Victorian playhouses and public buildings.
  • E. Humphrey Searle
    Humphrey Searle was a 20th-century British composer known for his pioneering use of serialism and his influential orchestral and film scores.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0bea808190aebc2905fb53eeba completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e411e0408190baf79f552a33a56c completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:44 p.m.