Triple

T15167407
Position Surface form Disambiguated ID Type / Status
Subject Emmett Kelly E362388 entity
Predicate portrayedCharacter P1668 FINISHED
Object Weary Willie E1141684 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: Weary Willie | Statement: [Emmett Kelly, portrayedCharacter, Weary Willie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weary Willie
Context triple: [Emmett Kelly, portrayedCharacter, Weary Willie]
  • A. Weary Willie chosen
    Weary Willie is the famous sad-faced hobo clown character created and performed by American circus clown Emmett Kelly.
  • B. Willie the Weeper
    "Willie the Weeper" is a classic early jazz tune, popularized in the 1920s and known for its vivid, drug-themed storytelling and recordings by major jazz artists.
  • C. Willie
    Willie is a character from the classic American television sitcom "Happy Days," which nostalgically portrays life in the 1950s and 1960s.
  • D. Willie
    Willie is the given name of Willie Blount, an American politician who served as governor of Tennessee in the early 19th century.
  • E. Willie
    Willie is a masculine given name commonly used in English-speaking countries, often as a diminutive of William.
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0064dba588190a4341775b472a6d3 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd27f2f481909dc26889c973932e completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:08 a.m.