Triple

T15169781
Position Surface form Disambiguated ID Type / Status
Subject The Bay E362452 entity
Predicate stars P1956 FINISHED
Object Will Rogers E6689 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: Will Rogers | Statement: [The Bay, stars, Will Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Rogers
Context triple: [The Bay, stars, Will Rogers]
  • A. Will Rogers chosen
    Will Rogers was a famed early 20th-century American humorist, social commentator, and vaudeville and film star known for his folksy wit and political satire.
  • B. Will Rogers Jr.
    Will Rogers Jr. was an American actor, newspaper publisher, and Democratic politician who served in the U.S. House of Representatives during the 1940s.
  • C. Irvin S. Cobb
    Irvin S. Cobb was an American humorist, author, and journalist known for his witty short stories, columns, and contributions to early 20th-century newspapers and magazines.
  • D. Rand McPherson
    Rand McPherson is the protagonist of the comedy film "PCU," a college student navigating the chaos and absurdities of campus life.
  • E. Jack Otterson
    Jack Otterson was an American art director known for his prolific work on Hollywood films in the 1930s and 1940s, often contributing to the visual style of major studio productions.
  • 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_69e0064ec56481909f11fa6e5686f076 completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec889c3408190bdfc75ce72dd5a62 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:08 a.m.