Triple

T6249590
Position Surface form Disambiguated ID Type / Status
Subject Bride Wars E140012 entity
Predicate musicBy P1952 FINISHED
Object Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
E615859 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: Ed Shearmur | Statement: [Bride Wars, musicBy, Ed Shearmur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ed Shearmur
Context triple: [Bride Wars, musicBy, Ed Shearmur]
  • A. Ben Shepherd
    Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
  • B. Chris Spedding
    Chris Spedding is an English session guitarist and producer known for his versatile work across rock, pop, and jazz, collaborating with numerous prominent artists since the 1960s.
  • C. William Tummel
    William Tummel was a Hollywood film assistant director who received an Academy Award for his work in the early years of the Oscars.
  • D. Graham Sharp
    Graham Sharp is an American banjo player, singer, and songwriter best known as a founding member of the bluegrass band Steep Canyon Rangers.
  • E. Mark Shand
    Mark Shand was a British travel writer, conservationist, and adventurer best known for his work protecting Asian elephants and for being the brother of Queen Camilla.
  • 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: Ed Shearmur
Triple: [Bride Wars, musicBy, Ed Shearmur]
Generated description
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ed Shearmur
Target entity description: Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
  • A. Ben Shepherd
    Ben Shepherd is an American musician best known as the longtime bassist for the influential grunge band Soundgarden.
  • B. Chris Spedding
    Chris Spedding is an English session guitarist and producer known for his versatile work across rock, pop, and jazz, collaborating with numerous prominent artists since the 1960s.
  • C. William Tummel
    William Tummel was a Hollywood film assistant director who received an Academy Award for his work in the early years of the Oscars.
  • D. Graham Sharp
    Graham Sharp is an American banjo player, singer, and songwriter best known as a founding member of the bluegrass band Steep Canyon Rangers.
  • E. Mark Shand
    Mark Shand was a British travel writer, conservationist, and adventurer best known for his work protecting Asian elephants and for being the brother of Queen Camilla.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0633c5f2081909b0246e061f8a7d9 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70add5a788190a2b16839659f662b completed March 27, 2026, 10:55 p.m.
NEDg Description generation batch_69c70d0cf5248190b946387f8b0d7278 completed March 27, 2026, 11:04 p.m.
NED2 Entity disambiguation (via description) batch_69c70d3b567c8190bfbc205d55926824 completed March 27, 2026, 11:05 p.m.
Created at: March 22, 2026, 4:24 p.m.