Triple

T3321342
Position Surface form Disambiguated ID Type / Status
Subject The Go-Between E69801 entity
Predicate editedBy P1954 FINISHED
Object Reginald Beck E247251 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 Beck | Statement: [The Go-Between, editedBy, Reginald Beck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reginald Beck
Context triple: [The Go-Between, editedBy, Reginald Beck]
  • A. Reginald Beck chosen
    Reginald Beck was a British film editor known for his work on classic mid-20th-century films, including Laurence Olivier’s adaptation of Henry V.
  • B. Charles Bebb
    Charles Bebb was a prominent early 20th-century American architect based in Seattle, known for helping shape the city's skyline through major commercial and landmark buildings.
  • C. 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.
  • D. Reginald Bevins
    Reginald Bevins was a British Conservative politician who held several ministerial posts in the mid-20th century, notably in Harold Macmillan’s government.
  • E. Reginald Gardiner
    Reginald Gardiner was a British-born actor and comedian known for his sophisticated comic roles in Hollywood films of the 1930s and 1940s.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13b85208190b13aba355d5dafcf completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3342118a48190b6d53fbf1b6c2a7d completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:11 p.m.