Triple

T4217939
Position Surface form Disambiguated ID Type / Status
Subject Tibbets E94266 entity
Predicate hasVariant P455 FINISHED
Object Tibbett
Tibbett is a surname of English origin borne by various notable individuals in fields such as music, sports, and the arts.
 E420958 NE FINISHED

How this triple was built (4 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: Tibbett | Statement: [Tibbets, hasVariant, Tibbett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tibbett
Context triple: [Tibbets, hasVariant, Tibbett]
  • A. Retton
    Retton is the surname of Mary Lou Retton, the pioneering American gymnast who became an Olympic champion and national sports icon in the 1980s.
  • B. Fitzherbert
    Fitzherbert is an English surname historically associated with notable figures in British politics, diplomacy, and the aristocracy.
  • C. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • D. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • E. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tibbett
Triple: [Tibbets, hasVariant, Tibbett]
Generated description
Tibbett is a surname of English origin borne by various notable individuals in fields such as music, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tibbett
Target entity description: Tibbett is a surname of English origin borne by various notable individuals in fields such as music, sports, and the arts.
  • A. Retton
    Retton is the surname of Mary Lou Retton, the pioneering American gymnast who became an Olympic champion and national sports icon in the 1980s.
  • B. Fitzherbert
    Fitzherbert is an English surname historically associated with notable figures in British politics, diplomacy, and the aristocracy.
  • C. Grier
    Grier is the surname of Pam Grier, an influential American actress renowned for her groundbreaking roles in 1970s blaxploitation films.
  • D. Barnett
    Barnett is a masculine given name most notably associated with the influential American abstract expressionist painter Barnett Newman.
  • E. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • F. None of above. chosen

Provenance (5 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34beb470481909ceff19195417f19 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963d3bd8819086465701f4c6adf5 completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b596dbb19c81908080af37ecfe2497 completed March 14, 2026, 5:11 p.m.
NED2 Entity disambiguation (via description) batch_69b5976663d88190a73a729554e91074 completed March 14, 2026, 5:14 p.m.
Created at: March 12, 2026, 11:04 p.m.