Triple

T8116663
Position Surface form Disambiguated ID Type / Status
Subject Hotspot E189489 entity
Predicate single P3283 FINISHED
Object Monkey Business E39416 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: Monkey Business | Statement: [Hotspot, single, Monkey Business]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monkey Business
Context triple: [Hotspot, single, Monkey Business]
  • A. Monkey Business chosen
    "Monkey Business" is a 2005 hip hop and pop-rap studio album by the Black Eyed Peas that features several commercially successful singles and collaborations.
  • B. Monkey Business
    "Monkey Business" is a popular hard rock song by the American band Skid Row, known for its heavy riffs and prominent presence in early 1990s rock music.
  • C. Monkey Business
    Monkey Business is a 1952 screwball comedy film directed by Howard Hawks, best known for starring Cary Grant, Ginger Rogers, and Marilyn Monroe in a zany story about a youth-restoring formula gone awry.
  • D. Monkey Me
    "Monkey Me" is a 2012 electropop studio album by French singer-songwriter Mylène Farmer, known for its melancholic themes and atmospheric production.
  • E. Monkey Town
    Monkey Town is a nickname for the town of Heywood in Greater Manchester, England, reflecting its distinctive local identity and history.
  • 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43320bf881909f97a235451bb3a4 completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbea5d39c819099d52545410ae564 completed April 1, 2026, 6:43 a.m.
Created at: March 30, 2026, 5:33 p.m.