Triple

T8032883
Position Surface form Disambiguated ID Type / Status
Subject Hello Ladies E187029 entity
Predicate mainCharacter P1183 FINISHED
Object Stuart Pritchard E717804 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: Stuart Pritchard | Statement: [Hello Ladies, mainCharacter, Stuart Pritchard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart Pritchard
Context triple: [Hello Ladies, mainCharacter, Stuart Pritchard]
  • A. Stuart Pritchard chosen
    Stuart Pritchard is the socially awkward, romantically inept British web designer in Los Angeles who serves as the main protagonist of the comedy series "Hello Ladies."
  • B. Stuart Palmer
    Stuart Palmer was an American mystery writer and screenwriter best known for his Hildegarde Withers detective novels and his work in Hollywood during the mid-20th century.
  • C. Stuart Gorrell
    Stuart Gorrell was an American lyricist best known for writing the words to the classic song "Georgia on My Mind."
  • D. Stuart Peach
    Stuart Peach is a senior Royal Air Force officer and former UK Chief of the Defence Staff who has held several top command and NATO leadership roles.
  • E. Stuart Burge
    Stuart Burge was a British film, television, and theatre director best known for his adaptations of classic plays, particularly works by Shakespeare.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef18da48190835454a5eb969da7 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd340abffc8190bbc17aa9b775a9cb completed April 1, 2026, 3:04 p.m.
Created at: March 30, 2026, 5:22 p.m.