Triple

T1786368
Position Surface form Disambiguated ID Type / Status
Subject Bring Me Love E39400 entity
Predicate writer P1360 FINISHED
Object Dane Charles
Dane Charles is a songwriter best known for co-writing the track "Bring Me Love."
 E214673 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: Dane Charles | Statement: [Bring Me Love, writer, Dane Charles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dane Charles
Context triple: [Bring Me Love, writer, Dane Charles]
  • A. Dale Miller
    Dale Miller is a prominent logician and computer scientist known for his influential work in proof theory, logic programming, and automated reasoning.
  • B. Marcus Carl Franklin
    Marcus Carl Franklin is an American actor best known for portraying a young, folk-singing incarnation of Bob Dylan in the 2007 film "I'm Not There."
  • C. Kevin Chapman
    Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
  • D. Derek Charles
    Derek Charles is the successful corporate executive whose life unravels when he becomes the target of a coworker’s dangerous obsession in the 2009 thriller film "Obsessed."
  • E. Charlie Smith
    Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
  • 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: Dane Charles
Triple: [Bring Me Love, writer, Dane Charles]
Generated description
Dane Charles is a songwriter best known for co-writing the track "Bring Me Love."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dane Charles
Target entity description: Dane Charles is a songwriter best known for co-writing the track "Bring Me Love."
  • A. Dale Miller
    Dale Miller is a prominent logician and computer scientist known for his influential work in proof theory, logic programming, and automated reasoning.
  • B. Marcus Carl Franklin
    Marcus Carl Franklin is an American actor best known for portraying a young, folk-singing incarnation of Bob Dylan in the 2007 film "I'm Not There."
  • C. Kevin Chapman
    Kevin Chapman is an American actor known for his tough, blue-collar character roles in film and television, including prominent parts in series like "Person of Interest" and "City on a Hill."
  • D. Derek Charles
    Derek Charles is the successful corporate executive whose life unravels when he becomes the target of a coworker’s dangerous obsession in the 2009 thriller film "Obsessed."
  • E. Charlie Smith
    Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
  • 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_69a88631854081909723959921e45c2b completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa650ea238819093a15df6f9d73e2d completed March 6, 2026, 5:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3bef0648190a7fd6ae38b41038e completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf471909881909de20d9d1fa0b372 completed March 8, 2026, 10:13 p.m.
NED2 Entity disambiguation (via description) batch_69adf50b17a081909b93ad3e08c71772 completed March 8, 2026, 10:15 p.m.
Created at: March 4, 2026, 7:32 p.m.