Triple

T14045995
Position Surface form Disambiguated ID Type / Status
Subject Awake E337956 entity
Predicate hasTrack P3284 FINISHED
Object Forgive Me E351246 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: Forgive Me | Statement: [Awake, hasTrack, Forgive Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forgive Me
Context triple: [Awake, hasTrack, Forgive Me]
  • A. Forgive Me chosen
    "Forgive Me" is a musical track from the Season 5 soundtrack of the HBO television series Game of Thrones, composed by Ramin Djawadi.
  • B. Forgive Me
    "Forgive Me" is an R&B song by American duo Chloe x Halle, known for its confident lyrics, intricate harmonies, and sleek, futuristic production.
  • C. Forgive Me
    "Forgive Me" is a musical track from the original score of the 2011 Marvel film "Thor," composed by Patrick Doyle.
  • D. I Am Forgiven
    "I Am Forgiven" is a track from the hip-hop mixtape *Wrath of Caine* by rapper Pusha T.
  • E. Forgiven
    Forgiven is a song by the Dutch symphonic metal band Sylver.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de312df37081909f45ce3e219af5dc completed April 14, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc34148348190a8c67e035646e431 completed May 6, 2026, 10:40 p.m.
Created at: April 9, 2026, 10:20 p.m.