Triple

T11633458
Position Surface form Disambiguated ID Type / Status
Subject Milt Franklyn E276457 entity
Predicate givenName P17 FINISHED
Object Milt E276457 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: Milt | Statement: [Milt Franklyn, givenName, Milt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milt
Context triple: [Milt Franklyn, givenName, 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 chosen
    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.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25c0b00819095898d2b2445ecfb completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87b12044819098a858edb2b16689 completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.