Triple

T11091446
Position Surface form Disambiguated ID Type / Status
Subject Thomas Wesley Pentz E262263 entity
Predicate notableSongProduced P8087 FINISHED
Object Close to Me E851681 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: Close to Me | Statement: [Thomas Wesley Pentz, notableSongProduced, Close to Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Close to Me
Context triple: [Thomas Wesley Pentz, notableSongProduced, Close to Me]
  • A. Close to Me chosen
    "Close to Me" is a 2018 electro-pop collaboration between Ellie Goulding, Diplo, and Swae Lee that blends catchy melodies with dance-oriented production.
  • B. Close to Me
    Close to Me is a British psychological drama television series centered on a woman who loses a year of her memories after a fall and begins to uncover disturbing truths about her life.
  • C. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • D. Too Close
    "Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
  • E. Too Close
    "Too Close" is a 2011 electro-soul song by British singer Alex Clare that gained widespread popularity after being featured in a major Internet Explorer commercial.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ebae8c8190987b474adb7ede47 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7c586808190a576803b7406a49e completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.