Triple

T13494698
Position Surface form Disambiguated ID Type / Status
Subject XXXTentacion E320727 entity
Predicate notableWork P4 FINISHED
Object Look at Me! E1012202 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: Look at Me! | Statement: [XXXTentacion, notableWork, Look at Me!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Look at Me!
Context triple: [XXXTentacion, notableWork, Look at Me!]
  • A. Look at Me chosen
    "Look at Me" is a song best known as the breakout hit by American rapper XXXTentacion, noted for its raw, distorted sound and viral rise on streaming platforms.
  • B. Look at Me
    "Look at Me" is a critically acclaimed novel by Jennifer Egan that explores identity, celebrity culture, and the impact of media in contemporary American life.
  • C. "Look at Me"
    "Look at Me" is a track by Lil Wayne from his 2002 studio album *500 Degreez*, showcasing his early 2000s Southern hip hop style.
  • D. Look at Me Now
    "Look at Me Now" is a 2011 hip hop single by Chris Brown featuring Lil Wayne and Busta Rhymes, known for its rapid-fire rap verses and club-oriented production.
  • E. Who Look at Me
    "Who Look at Me" is a book by poet and activist June Jordan that combines poetry and commentary to explore race, identity, and the Black experience in America.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463d3a948190aab07a25fd903d4e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.