Triple

T3321685
Position Surface form Disambiguated ID Type / Status
Subject The Mirror Crack'd E69808 entity
Predicate composer P1361 FINISHED
Object John Cameron
John Cameron is a British composer and arranger known for his work on film scores, television music, and popular recordings.
E349153 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: John Cameron | Statement: [The Mirror Crack'd, composer, John Cameron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Cameron
Context triple: [The Mirror Crack'd, composer, John Cameron]
  • A. Ian Kirkpatrick
    Ian Kirkpatrick is a Grammy-nominated American record producer and songwriter best known for crafting pop hits for artists like Dua Lipa, Selena Gomez, and Jason Derulo.
  • B. Alec Cameron
    Alec Cameron is an Australian academic and higher education leader who serves as the Vice-Chancellor and President of RMIT University.
  • C. Tim Murray
    Tim Murray is a collegiate sports administrator best known for serving as the athletic director of the Marist Red Foxes.
  • D. Malcolm Cameron
    Malcolm Cameron is a notable individual who shares the surname Cameron and is recognized for his prominence in public or professional life.
  • E. Christopher Ross
    Christopher Ross is a British cinematographer known for his visually distinctive work on films such as "Yesterday" and other contemporary feature productions.
  • 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: John Cameron
Triple: [The Mirror Crack'd, composer, John Cameron]
Generated description
John Cameron is a British composer and arranger known for his work on film scores, television music, and popular recordings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Cameron
Target entity description: John Cameron is a British composer and arranger known for his work on film scores, television music, and popular recordings.
  • A. Ian Kirkpatrick
    Ian Kirkpatrick is a Grammy-nominated American record producer and songwriter best known for crafting pop hits for artists like Dua Lipa, Selena Gomez, and Jason Derulo.
  • B. Alec Cameron
    Alec Cameron is an Australian academic and higher education leader who serves as the Vice-Chancellor and President of RMIT University.
  • C. Tim Murray
    Tim Murray is a collegiate sports administrator best known for serving as the athletic director of the Marist Red Foxes.
  • D. Malcolm Cameron
    Malcolm Cameron is a notable individual who shares the surname Cameron and is recognized for his prominence in public or professional life.
  • E. Christopher Ross
    Christopher Ross is a British cinematographer known for his visually distinctive work on films such as "Yesterday" and other contemporary feature productions.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb13d13a88190828d9a03fd0865ce completed March 8, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a7954248190b0c7b5d6ab3c6687 completed March 12, 2026, 7:56 p.m.
NEDg Description generation batch_69b31c368e4c8190a011833fce090a7d completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31d3fa6088190a5abf858c01c25bc completed March 12, 2026, 8:08 p.m.
Created at: March 8, 2026, 3:11 p.m.