Triple

T10469100
Position Surface form Disambiguated ID Type / Status
Subject Sylver E246878 entity
Predicate notableWork P4 FINISHED
Object Forgiven
Forgiven is a song by the Dutch symphonic metal band Sylver.
E865208 NE FINISHED

How this triple was built (4 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: Forgiven | Statement: [Sylver, notableWork, Forgiven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forgiven
Context triple: [Sylver, notableWork, Forgiven]
  • A. Forgiven
    "Forgiven" is a track from 2 Chainz's introspective hip-hop album "Rap or Go to the League," reflecting themes of struggle, redemption, and personal growth.
  • B. Your Forgiveness
    "Your Forgiveness" is one of the meditative, spiritually themed tracks from Paul Simon’s song cycle *Seven Psalms*.
  • C. Father Forgive
    Father Forgive is the famous two-word Christian plea for mercy and reconciliation prominently associated with Coventry Cathedral’s message of forgiveness after wartime destruction.
  • D. Sweet Forgiveness
    Sweet Forgiveness is a 1977 blues-rock album by American singer-songwriter and guitarist Bonnie Raitt, noted for its soulful vocals and slide guitar work.
  • E. Forgive Me
    "Forgive Me" is a musical track from the Season 5 soundtrack of the HBO television series Game of Thrones, composed by Ramin Djawadi.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Forgiven
Triple: [Sylver, notableWork, Forgiven]
Generated description
Forgiven is a song by the Dutch symphonic metal band Sylver.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Forgiven
Target entity description: Forgiven is a song by the Dutch symphonic metal band Sylver.
  • A. Forgiven
    "Forgiven" is a track from 2 Chainz's introspective hip-hop album "Rap or Go to the League," reflecting themes of struggle, redemption, and personal growth.
  • B. Your Forgiveness
    "Your Forgiveness" is one of the meditative, spiritually themed tracks from Paul Simon’s song cycle *Seven Psalms*.
  • C. Father Forgive
    Father Forgive is the famous two-word Christian plea for mercy and reconciliation prominently associated with Coventry Cathedral’s message of forgiveness after wartime destruction.
  • D. Sweet Forgiveness
    Sweet Forgiveness is a 1977 blues-rock album by American singer-songwriter and guitarist Bonnie Raitt, noted for its soulful vocals and slide guitar work.
  • E. Forgive Me
    "Forgive Me" is a musical track from the Season 5 soundtrack of the HBO television series Game of Thrones, composed by Ramin Djawadi.
  • F. None of above. chosen

Provenance (5 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092fa6048190b26d481ddc3e3ec2 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ffdfd988190a37b3444d096e678 completed April 10, 2026, 7 a.m.
NEDg Description generation batch_69d8a1656b348190ba932d03402d6a4d completed April 10, 2026, 7:06 a.m.
NED2 Entity disambiguation (via description) batch_69d8a2b82bb48190899f37a967fef444 completed April 10, 2026, 7:11 a.m.
Created at: April 6, 2026, 12:20 p.m.