Triple

T13539262
Position Surface form Disambiguated ID Type / Status
Subject Ernie Chambers E323339 entity
Predicate givenName P17 FINISHED
Object Ernie E242590 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: Ernie | Statement: [Ernie Chambers, givenName, Ernie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernie
Context triple: [Ernie Chambers, givenName, Ernie]
  • A. Ernie chosen
    Ernie is a common diminutive form of the given name Ernest, often used as a familiar or affectionate nickname.
  • B. Ernie Krinklesac
    Ernie Krinklesac is a minor character from the animated TV series "The Cleveland Show," known as the son of Lester Krinklesac.
  • C. Ernie Klump Jr.
    Ernie Klump Jr. is a character in "The Nutty Professor" film series, depicted as a member of the eccentric Klump family.
  • D. Cliff Hare
    Cliff Hare was an influential Auburn University figure and longtime trustee whose contributions to the school's athletics led to his name being honored on Jordan–Hare Stadium.
  • E. Bert
    Bert is a Swedish film or television production best known as an early directorial work by acclaimed filmmaker Tomas Alfredson.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd7ad9481908fe1d7ffcf8fab71 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9c04b881908a359df791b89b43 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.