Triple

T20031375
Position Surface form Disambiguated ID Type / Status
Subject 7 and 7 Is E497133 entity
Predicate hasTitle P38 FINISHED
Object 7 and 7 Is 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: 7 and 7 Is | Statement: [7 and 7 Is, hasTitle, 7 and 7 Is]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 7 and 7 Is
Context triple: [7 and 7 Is, hasTitle, 7 and 7 Is]
  • A. 7 and 7 Is chosen
    "7 and 7 Is" is a song originally by the American rock band Love, later covered by the Ramones on their album "Acid Eaters."
  • B. Seven & Seven
    "Seven & Seven" is a studio album by pioneering American rapper MC Lyte, showcasing her lyrical skill and presence in 1990s hip hop.
  • C. 7 sur 7
    7 sur 7 was a popular French political television talk show, best known for its in-depth Sunday evening interviews with major national and international figures, hosted by journalist Anne Sinclair.
  • D. 3's & 7's
    "3's & 7's" is a hard-rocking single by Queens of the Stone Age, known for its driving riffs and appearance on their 2007 album "Era Vulgaris."
  • E. sevens
    Sevens is a fast-paced, seven-a-side variant of rugby union known for its short matches and emphasis on speed and open play.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66292a80c81908adf95766b3b4ac4 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.