Triple

T15293884
Position Surface form Disambiguated ID Type / Status
Subject Going Hollywood E365601 entity
Predicate featuresSong P2152 FINISHED
Object Beautiful Girl E815239 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: Beautiful Girl | Statement: [Going Hollywood, featuresSong, Beautiful Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beautiful Girl
Context triple: [Going Hollywood, featuresSong, Beautiful Girl]
  • A. Beautiful Girl chosen
    "Beautiful Girl" is a song featured on the album *Shine On*.
  • B. Every Girl
    "Every Girl" is a 2009 hip hop single by Young Money Entertainment featuring several of the label’s artists, known for its catchy hook and sexually explicit lyrics.
  • C. That Girl
    "That Girl" is a 1981 R&B/soul single by Stevie Wonder, known for its smooth groove, synthesizer-driven production, and chart success in the early 1980s.
  • D. That Girl
    "That Girl" is a soulful, trip-hop-influenced song by Canadian singer-songwriter Esthero, showcasing her smooth vocals and genre-blending style.
  • E. That Girl
    "That Girl" is a 1960s American sitcom starring Marlo Thomas as an aspiring actress in New York City, known as one of the first TV series to focus on an independent single career woman.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03682ea488190ac82fdbd0e855d34 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7f2fc08190937226dad5fdc9c6 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.