Triple

T14172578
Position Surface form Disambiguated ID Type / Status
Subject Forgive Me E351246 entity
Predicate hasTitle P38 FINISHED
Object Forgive Me
Forgive Me is a title that has been used for various creative works, including songs, films, and television episodes, typically centered on themes of remorse and seeking redemption.
 E1084756 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: Forgive Me | Statement: [Forgive Me, hasTitle, Forgive Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Forgive Me
Context triple: [Forgive Me, hasTitle, Forgive Me]
  • A. 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.
  • B. 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.
  • 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. 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: Forgive Me
Triple: [Forgive Me, hasTitle, Forgive Me]
Generated description
Forgive Me is a title that has been used for various creative works, including songs, films, and television episodes, typically centered on themes of remorse and seeking redemption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Forgive Me
Target entity description: Forgive Me is a title that has been used for various creative works, including songs, films, and television episodes, typically centered on themes of remorse and seeking redemption.
  • A. 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.
  • B. 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.
  • 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. 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf808e6088190a607903be0f2adc7 completed May 7, 2026, 8:37 p.m.
NEDg Description generation batch_69fd09bad5b48190913aaba5dd2a509d completed May 7, 2026, 9:52 p.m.
NED2 Entity disambiguation (via description) batch_69fd0a7603848190a4b73971cb75f99e completed May 7, 2026, 9:56 p.m.
Created at: April 10, 2026, 1:01 a.m.