Triple

T14741158
Position Surface form Disambiguated ID Type / Status
Subject John Theodore Rossi E346347 entity
Predicate notableWork P4 FINISHED
Object Bad Hurt E345039 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: Bad Hurt | Statement: [John Theodore Rossi, notableWork, Bad Hurt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Hurt
Context triple: [John Theodore Rossi, notableWork, Bad Hurt]
  • A. Bad Hurt chosen
    Bad Hurt is an independent drama film about a working-class family struggling with mental illness, disability, and the lingering effects of military service in Staten Island.
  • B. Bad Guy
    "Bad Guy" is a 2019 electropop song by American singer Billie Eilish, known for its minimalist production, heavy bass, and playful subversion of pop and villain tropes.
  • C. Truth Hurts
    Truth Hurts is an American R&B singer and songwriter best known for her early-2000s hit single "Addictive."
  • D. Scary Hours
    Scary Hours is a 2018 EP by Canadian rapper Drake that notably introduced the hit single "God’s Plan."
  • E. Get Hurt
    Get Hurt is a 2014 studio album by American rock band The Gaslight Anthem that explores a darker, more experimental sound than their earlier work.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb93e94c8190beba605e26d4552c completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.