Triple

T10848113
Position Surface form Disambiguated ID Type / Status
Subject MNEK E256069 entity
Predicate notableWork P4 FINISHED
Object Every Little Word E605558 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: Every Little Word | Statement: [MNEK, notableWork, Every Little Word]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Every Little Word
Context triple: [MNEK, notableWork, Every Little Word]
  • A. Every Little Word chosen
    "Every Little Word" is a song by British singer-songwriter Uzoechi Emenike, better known as MNEK, showcasing his blend of pop and R&B production and vocal style.
  • B. Little by Little
    "Little by Little" is a blues song associated with harmonica player and singer Junior Wells, reflecting his influential Chicago blues style.
  • C. Little by Little
    "Little by Little" is a song by the English rock band Radiohead from their 2011 album *The King of Limbs*, noted for its intricate rhythms and layered, atmospheric production.
  • D. Little by Little
    "Little by Little" is a 2002 rock song by English band Oasis, known for its anthemic chorus and reflective lyrics, released as a single from their album "Heathen Chemistry."
  • E. The Words
    The Words is Jean-Paul Sartre’s autobiographical work in which he reflects on his childhood and the development of his literary and philosophical identity.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75114ca988190a0e730131adb2df0 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb170e714819097babb2b850342d2 completed April 14, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:20 p.m.