Triple

T10414641
Position Surface form Disambiguated ID Type / Status
Subject David Korins E245483 entity
Predicate nominatedForWork P6104 FINISHED
Object War Paint E801423 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: War Paint | Statement: [David Korins, nominatedForWork, War Paint]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: War Paint
Context triple: [David Korins, nominatedForWork, War Paint]
  • A. War Paint chosen
    War Paint is a Broadway musical that dramatizes the rivalry between cosmetics titans Helena Rubinstein and Elizabeth Arden in mid-20th-century America.
  • B. Lipstick, Powder and Paint
    "Lipstick, Powder and Paint" is a 1985 rock and roll studio album by Welsh singer Shakin' Stevens, featuring a mix of original songs and covers in his signature retro style.
  • C. Warpaint
    Warpaint is an American indie rock band known for its atmospheric, guitar-driven sound and intricate vocal harmonies.
  • D. Blush
    Blush is the debut studio album by American actress and singer-songwriter Maya Hawke, showcasing her introspective indie-folk sound.
  • E. Make Up For Ever
    Make Up For Ever is a professional cosmetics brand known for its high-performance makeup products widely used by makeup artists and beauty enthusiasts.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea0f7d188190a60a7c3832c51515 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e9b86648190b83eb5261c9a7b97 completed April 10, 2026, 4:37 a.m.
Created at: April 6, 2026, 12:10 p.m.