Triple

T11357006
Position Surface form Disambiguated ID Type / Status
Subject Thank You for the Music E268981 entity
Predicate performer P1363 FINISHED
Object ABBA E48050 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: ABBA | Statement: [Thank You for the Music, performer, ABBA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABBA
Context triple: [Thank You for the Music, performer, ABBA]
  • A. ABBA chosen
    ABBA is a Swedish pop group formed in the early 1970s, globally renowned for their catchy melodies, rich harmonies, and enduring hits like "Dancing Queen" and "Mamma Mia."
  • B. abba
    Abba is an honorific title used in early Christian monasticism, particularly in the Desert Fathers tradition, to denote a spiritual father or elder.
  • C. Benny Anderssons Orkester
    Benny Anderssons Orkester is a Swedish music group led by former ABBA member Benny Andersson, known for its blend of folk, pop, and dance-band music.
  • D. Alonei Abba
    Alonei Abba is a small rural community in northern Israel known for its historic Templer and German Protestant architecture and surrounding oak woodlands.
  • E. Roxette
    Roxette is a Swedish pop rock duo, best known for their late-1980s and early-1990s international hits like "It Must Have Been Love" and "Listen to Your Heart."
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5564d5a8c81908bddbf3f771370f7 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.