Triple

T14054523
Position Surface form Disambiguated ID Type / Status
Subject Abba Kabir Yusuf E338179 entity
Predicate givenName P17 FINISHED
Object Abba E303869 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: [Abba Kabir Yusuf, givenName, Abba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abba
Context triple: [Abba Kabir Yusuf, givenName, Abba]
  • A. ABBA
    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 chosen
    Abba is an honorific title used in early Christian monasticism, particularly in the Desert Fathers tradition, to denote a spiritual father or elder.
  • C. 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.
  • D. 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.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8d1aa48190a5055d15d9fa220c completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb6608cf8819087ed5d890b82650a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.