Triple

T13646256
Position Surface form Disambiguated ID Type / Status
Subject Milton E326108 entity
Predicate hasVariant P455 FINISHED
Object Milt
Milt is a masculine given name, typically used as a shortened form of Milton.
E1053740 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: Milt | Statement: [Milton, hasVariant, Milt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milt
Context triple: [Milton, hasVariant, Milt]
  • A. Milt Kuolt
    Milt Kuolt was an American entrepreneur best known as the founder of Horizon Air, a regional airline that became a major carrier in the Pacific Northwest.
  • B. Milo Butler
    Milo Butler was a prominent Bahamian politician and nationalist leader who became the country’s first Bahamian-born Governor-General after independence.
  • C. Milt Franklyn
    Milt Franklyn was an American composer and arranger best known for scoring numerous Warner Bros. Looney Tunes and Merrie Melodies cartoons in the mid-20th century.
  • D. Milo Hamilton
    Milo Hamilton was a renowned American sportscaster best known as a longtime Major League Baseball play-by-play announcer, particularly for the Houston Astros.
  • E. Maurice "Snoopy" Miller
    Maurice "Snoopy" Miller is a volatile and ambitious Detroit crime boss in the film "Out of Sight," known for his ruthless pursuit of power and money.
  • 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: Milt
Triple: [Milton, hasVariant, Milt]
Generated description
Milt is a masculine given name, typically used as a shortened form of Milton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Milt
Target entity description: Milt is a masculine given name, typically used as a shortened form of Milton.
  • A. Milt Kuolt
    Milt Kuolt was an American entrepreneur best known as the founder of Horizon Air, a regional airline that became a major carrier in the Pacific Northwest.
  • B. Milo Butler
    Milo Butler was a prominent Bahamian politician and nationalist leader who became the country’s first Bahamian-born Governor-General after independence.
  • C. Milt Franklyn
    Milt Franklyn was an American composer and arranger best known for scoring numerous Warner Bros. Looney Tunes and Merrie Melodies cartoons in the mid-20th century.
  • D. Milo Hamilton
    Milo Hamilton was a renowned American sportscaster best known as a longtime Major League Baseball play-by-play announcer, particularly for the Houston Astros.
  • E. Maurice "Snoopy" Miller
    Maurice "Snoopy" Miller is a volatile and ambitious Detroit crime boss in the film "Out of Sight," known for his ruthless pursuit of power and money.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6073e888190965456a639839749 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af948408190bca7f2e46863391e completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd52b748190ab483ec7634a6549 completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78d277c5c8190970cb3cd0fd32905 completed May 3, 2026, 6 p.m.
Created at: April 9, 2026, 9:51 p.m.