Triple

T17926840
Position Surface form Disambiguated ID Type / Status
Subject The Afterlove E448216 entity
Predicate single P3283 FINISHED
Object Make Me Better E971522 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: Make Me Better | Statement: [The Afterlove, single, Make Me Better]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Make Me Better
Context triple: [The Afterlove, single, Make Me Better]
  • A. Make Me Better chosen
    "Make Me Better" is a 2007 hip-hop/R&B single by Fabolous featuring Ne-Yo, known for its smooth production by Timbaland and its theme of romantic partnership as personal improvement.
  • B. Make It Better
    Make It Better is a component or subdivision associated with Ventura, likely focused on improvement or enhancement initiatives within that broader entity.
  • C. The Better Me
    "The Better Me" is a motivational track from the podcast "On Purpose" that focuses on personal growth and self-improvement.
  • D. Make Me Over
    Make Me Over is likely a segment or feature within the program "Who We Are" that focuses on personal transformations or makeovers.
  • E. So Much Better
    "So Much Better" is an upbeat, empowering musical number performed by Elle Woods as a climactic act-one finale in the Broadway adaptation of Legally Blonde.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a54f29a88190b035d8473765bde5 completed April 19, 2026, 9:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03290f30a88190814f4045eb31e639 completed May 12, 2026, 1:20 p.m.
Created at: April 10, 2026, 10:20 a.m.