Triple

T15546099
Position Surface form Disambiguated ID Type / Status
Subject Lindy Robbins E370612 entity
Predicate hasWrittenSongsFor P44022 FINISHED
Object MKTO E856494 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: MKTO | Statement: [Lindy Robbins, hasWrittenSongsFor, MKTO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MKTO
Context triple: [Lindy Robbins, hasWrittenSongsFor, MKTO]
  • A. MKTO chosen
    MKTO is an American pop-rap duo best known for their hit single "Classic" and their blend of catchy pop hooks with hip-hop influences.
  • B. MKT
    MKT was the reporting mark and common abbreviation for the Missouri–Kansas–Texas Railroad, a major regional railroad that served the south-central United States.
  • C. MKG
    MKG is the three-letter IATA airport code for Muskegon County Airport in Muskegon, Michigan, USA.
  • D. MKTP
    MKTP is the ICAO airport code assigned to Tinson Pen Aerodrome, a domestic airport serving Kingston, Jamaica.
  • E. ARKET
    ARKET is a modern, minimalist lifestyle brand offering clothing, accessories, and homeware under the H&M Group.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9073948190b6e9cf504aacc7cf completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff455a38188190a593c70be09d6103 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 4:07 a.m.