Triple

T8178775
Position Surface form Disambiguated ID Type / Status
Subject Brian May E191005 entity
Predicate founded P104 FINISHED
Object Save Me Trust
Save Me Trust is a UK-based animal welfare and conservation charity focused on protecting wildlife and campaigning against animal cruelty.
 E717912 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: Save Me Trust | Statement: [Brian May, founded, Save Me Trust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Save Me Trust
Context triple: [Brian May, founded, Save Me Trust]
  • A. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • B. Save Me
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • C. Save Me
    "Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • D. Save You
    "Save You" is a song by the American rock band Pearl Jam, featured on their 2002 album *Riot Act*.
  • E. Trust Me
    Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
  • 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: Save Me Trust
Triple: [Brian May, founded, Save Me Trust]
Generated description
Save Me Trust is a UK-based animal welfare and conservation charity focused on protecting wildlife and campaigning against animal cruelty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Save Me Trust
Target entity description: Save Me Trust is a UK-based animal welfare and conservation charity focused on protecting wildlife and campaigning against animal cruelty.
  • A. Save Me
    "Save Me" is a rock song by Remy Zero best known as the theme music for the television series Smallville.
  • B. Save Me
    "Save Me" is a popular rock song by the American band Hinder, known for its post-grunge style and emotionally charged lyrics.
  • C. Save Me
    "Save Me" is a 1980 rock ballad by Queen, written by guitarist Brian May and known for its emotional lyrics and powerful vocal performance by Freddie Mercury.
  • D. Save You
    "Save You" is a song by the American rock band Pearl Jam, featured on their 2002 album *Riot Act*.
  • E. Trust Me
    Trust Me is a British medical thriller television series that follows a nurse who assumes a doctor’s identity, known in part for starring Jodie Whittaker before her role in Doctor Who.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4abd9768819091298e4dd995ac96 completed March 31, 2026, 4:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced6fd33081909512adbe559b2c7a completed April 1, 2026, 10:03 a.m.
NEDg Description generation batch_69ccf09a952c8190ace6a9f0012ad90a completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd0579b6d08190a5c68d730e1c6284 completed April 1, 2026, 11:46 a.m.
Created at: March 30, 2026, 5:40 p.m.