Triple

T5388922
Position Surface form Disambiguated ID Type / Status
Subject 112 E120271 entity
Predicate hasMusicVideoFor P3287 FINISHED
Object Anywhere E517529 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: Anywhere | Statement: [112, hasMusicVideoFor, Anywhere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anywhere
Context triple: [112, hasMusicVideoFor, Anywhere]
  • A. Anywhere chosen
    "Anywhere" is a song by British singer Rita Ora, released in 2017 as a dance-pop track that became one of her major international hits.
  • B. Whereabouts
    Whereabouts is a reflective, introspective novel by Jhumpa Lahiri that follows an unnamed woman navigating solitude and everyday life in an unnamed Italian city.
  • C. Everywhere
    Everywhere is a multi-platinum 1997 country album by Tim McGraw that produced several hit singles and helped solidify his status as a major star in the genre.
  • D. Where It's At
    "Where It's At" is a Grammy-winning alternative rock song by Beck, known for its eclectic sampling, catchy chorus, and role in defining his breakthrough 1996 album *Odelay*.
  • E. Whenever, Wherever
    "Whenever, Wherever" is a globally successful Latin pop song by Colombian singer Shakira that helped launch her international crossover career in the early 2000s.
  • 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_69bd46354c648190a38b26f107010a96 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd871573b48190aa60871be56847ae completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a997ad08190acfdd7cc1b396262 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 2:04 p.m.