Triple

T13535714
Position Surface form Disambiguated ID Type / Status
Subject Semyorka E323254 entity
Predicate hasNicknameMeaning P46615 FINISHED
Object the seven E247817 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: the seven | Statement: [Semyorka, hasNicknameMeaning, the seven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the seven
Context triple: [Semyorka, hasNicknameMeaning, the seven]
  • A. The Seven chosen
    The Seven is a legendary group of immortal beings often depicted as powerful, enigmatic figures central to various mythic or fictional narratives.
  • B. 4seven
    4seven is a British television channel that broadcasts repeats and highlights of recent Channel 4 programming.
  • C. The Original 7ven
    The Original 7ven is the funk and R&B band formerly known as The Time, best known for its close association with Prince and its influential Minneapolis sound.
  • D. The Seven Oft-Repeated
    The Seven Oft-Repeated is a revered title for Surah Al-Fatiha, the opening chapter of the Qur’an that is recited in every unit of Muslim prayer.
  • 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 (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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbcad2881909fb7490311807f75 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9a448c81908fa57a909a9097f7 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:44 p.m.