Triple

T13941846
Position Surface form Disambiguated ID Type / Status
Subject Hello, Larry E335274 entity
Predicate starring P1507 FINISHED
Object McLean Stevenson E527951 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: McLean Stevenson | Statement: [Hello, Larry, starring, McLean Stevenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: McLean Stevenson
Context triple: [Hello, Larry, starring, McLean Stevenson]
  • A. McLean Stevenson chosen
    McLean Stevenson was an American actor and comedian best known for his role as Lt. Colonel Henry Blake on the television series M*A*S*H.
  • B. Leslie Thompson Baxter
    Leslie Thompson Baxter was an American composer, arranger, and conductor best known for his pioneering work in exotica and space age pop music during the mid-20th century.
  • C. Lewis Stevenson
    Lewis Stevenson was an American politician and public servant from Illinois, known as a prominent member of the influential Stevenson political family.
  • D. Mel Stuart
    Mel Stuart was an American film and television director best known for helming the classic 1971 musical fantasy film "Willy Wonka & the Chocolate Factory."
  • E. Stewart St. John
    Stewart St. John is a television and film writer-producer known for creating and producing genre and drama series, as well as for his work in audio storytelling and digital media.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf6e29881908ddb8efca9a456a3 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8bbd8c819084703298ed6d9c87 completed May 3, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:17 p.m.