Triple

T16250853
Position Surface form Disambiguated ID Type / Status
Subject John Bonham E394499 entity
Predicate associatedAct P37 FINISHED
Object Band of Joy E1202436 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: Band of Joy | Statement: [John Bonham, associatedAct, Band of Joy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Band of Joy
Context triple: [John Bonham, associatedAct, Band of Joy]
  • A. Band of Joy chosen
    Band of Joy was a British rock and blues band best known as one of Robert Plant’s early groups before he rose to fame with Led Zeppelin.
  • B. Tower of Joy
    The Tower of Joy is a pivotal fortress in the A Song of Ice and Fire/Game of Thrones lore, known as the site of the climactic confrontation between Ned Stark and the Kingsguard and the birthplace of Jon Snow.
  • C. Band of Susans
    Band of Susans was a New York City noise rock band known for its dense, guitar-heavy sound and influential role in the late-1980s and early-1990s alternative rock scene.
  • D. Band of the Hour
    Band of the Hour is the marching band of the University of Miami, known for performing at Miami Hurricanes football games and other university events.
  • E. Big Joy
    Big Joy is a film celebrating the life and avant-garde artistic legacy of poet and filmmaker James Broughton.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24596e2208190ad9d9abfa6620ca1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017b1e22c8190bddca67661121c2d completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:04 a.m.