Triple

T14623486
Position Surface form Disambiguated ID Type / Status
Subject Breakthrough E343281 entity
Predicate hasTrack P3284 FINISHED
Object Begin Again E735252 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: Begin Again | Statement: [Breakthrough, hasTrack, Begin Again]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begin Again
Context triple: [Breakthrough, hasTrack, Begin Again]
  • A. Begin Again chosen
    Begin Again is a 2013 musical romantic drama film about a disgraced music executive and a young singer-songwriter who collaborate to produce an album recorded live across New York City.
  • B. Over Again
    "Over Again" is a dance/electronic track by French DJ and producer Michael Calfan, known for its uplifting, melodic house style.
  • C. Love Again
    Love Again is a 2023 romantic comedy-drama film starring Priyanka Chopra Jonas as a grieving woman who unexpectedly finds new love through a series of misdirected text messages.
  • D. Love Again
    Love Again is a soulful R&B song by Daniel Caesar, known for its smooth vocals and emotive, romantic lyricism.
  • E. Love Again
    Love Again is a pop song produced by Ian Kirkpatrick, known for its polished, hook-driven sound and contemporary chart appeal.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9288e748190bf65a01803265a73 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.