Triple

T18084335
Position Surface form Disambiguated ID Type / Status
Subject American Bad Ass E432794 entity
Predicate hasSample P3284 FINISHED
Object Sad but True NE NERFINISHED

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: Sad but True | Statement: [American Bad Ass, hasSample, Sad but True]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sad but True
Context triple: [American Bad Ass, hasSample, Sad but True]
  • A. Sad but True chosen
    "Sad but True" is a heavy, groove-driven metal track by Metallica, known for its down-tuned riff, dark lyrical themes, and prominence on their 1991 self-titled "Black Album."
  • B. So Sad the Song
    "So Sad the Song" is a soulful ballad best known from Gladys Knight & the Pips’ 1976 recording, showcasing Gerry Goffin’s emotive songwriting.
  • C. It's True
    "It's True" is a song featured on the album *All I Feel* by R&B singer Lloyd.
  • D. Super Sad True Love Story
    Super Sad True Love Story is a satirical dystopian novel by Gary Shteyngart that explores love, technology, and consumerism in a near-future America on the brink of collapse.
  • E. Sweet Sorrow
    Sweet Sorrow is a coming-of-age romance novel by David Nicholls that follows a young man's bittersweet first love during an amateur theatre production in the 1990s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fcdbec819085752e7605ae7772 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.