Triple

T12201365
Position Surface form Disambiguated ID Type / Status
Subject Fabolous E290716 entity
Predicate notableSingle 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: [Fabolous, notableSingle, Make Me Better]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Make Me Better
Context triple: [Fabolous, notableSingle, 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. 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.
  • E. Love Me Better
    "Love Me Better" is a pop song by British singer-songwriter James Blunt, known for its reflective lyrics and contemporary production.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c79f6cc8190ae8163d2016078c0 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e549e688190967c00f437a388db completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:50 p.m.