Triple

T9649243
Position Surface form Disambiguated ID Type / Status
Subject Back to the Egg E233290 entity
Predicate hasPart P35 FINISHED
Object Getting Closer E796652 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: Getting Closer | Statement: [Back to the Egg, hasPart, Getting Closer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Getting Closer
Context triple: [Back to the Egg, hasPart, Getting Closer]
  • A. Getting Closer chosen
    "Getting Closer" is a rock song by Paul McCartney and Wings, released in 1979 and known as one of the singles from their album Back to the Egg.
  • B. Come Closer
    "Come Closer" is a hit Afrobeats single by Nigerian artist Wizkid featuring Drake, known for its fusion of Afrobeat and dancehall and its international chart success.
  • C. Come a Little Bit Closer
    "Come a Little Bit Closer" is a 1964 pop hit song by Jay and the Americans, known for its storytelling lyrics and Latin-flavored arrangement.
  • D. Up Close
    Up Close is a sports interview television program hosted by Chris Myers that features in-depth conversations with prominent athletes and sports figures.
  • E. A Closer Look
    A Closer Look is a recurring political and current-events commentary segment on Late Night with Seth Meyers known for its in-depth, satirical analysis of the news.
  • 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_69ca848b31648190b57aa55da20285be completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9badd630819087fd844d7878ec61 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18262dc50819089cfc17c770a1a90 completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.