Triple

T20783102
Position Surface form Disambiguated ID Type / Status
Subject 21st Century Hits: Best of 2000–2012 E511551 entity
Predicate hasPart P35 FINISHED
Object Blame the Vain 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: Blame the Vain | Statement: [21st Century Hits: Best of 2000–2012, hasPart, Blame the Vain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blame the Vain
Context triple: [21st Century Hits: Best of 2000–2012, hasPart, Blame the Vain]
  • A. Blame the Vain chosen
    Blame the Vain is a country music album by American singer-songwriter Dwight Yoakam, noted for its return to a more traditional honky-tonk sound and for being his first self-produced studio record.
  • B. Blame It
    "Blame It" is a hit R&B single by Jamie Foxx featuring T-Pain, known for its heavy use of Auto-Tune and club-oriented production.
  • C. Blame It on Me
    "Blame It on Me" is a song by American rapper and singer Post Malone from his hit album "Beerbongs & Bentleys."
  • D. Blindly
    Blindly is a novel by Italian writer Claudio Magris that blends history, memory, and myth through the fragmented recollections of an unreliable narrator.
  • E. How Can I Blame You
    "How Can I Blame You" is a song featured on the album "Darkness and Light."
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28870e481909e7cbcdd6d4bc247 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.