Triple

T18417023
Position Surface form Disambiguated ID Type / Status
Subject Antonio Dixon E441918 entity
Predicate notableWork P4 FINISHED
Object Start Over NE NERFINISHED

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: Start Over | Statement: [Antonio Dixon, notableWork, Start Over]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Start Over
Context triple: [Antonio Dixon, notableWork, Start Over]
  • A. Start Over chosen
    "Start Over" is a song title, likely a track on a music album.
  • B. Start from Scratch
    Start from Scratch is a documentary film that explores the creative process and personal journeys of individuals building something new from the ground up.
  • C. Começar de Novo
    Começar de Novo is a Brazilian telenovela best known for featuring actress Giselle Itié in a prominent role.
  • D. Starting All Over Again
    "Starting All Over Again" is a soulful R&B song written and originally recorded by Prince Phillip Mitchell, later popularized by the duo Mel & Tim.
  • E. Restart
    Restart is a track from the album "Airtight's Revenge" by alternative hip-hop artist Bilal, known for its experimental soul and jazz influences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a284b608190b77c360a72aceb7a completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.