Triple

T15045072
Position Surface form Disambiguated ID Type / Status
Subject La La La E379201 entity
Predicate writer P1360 FINISHED
Object James Murray
James Murray is a writer best known for his work on the song "La La La."
E1133799 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: James Murray | Statement: [La La La, writer, James Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Murray
Context triple: [La La La, writer, James Murray]
  • A. James Murray
    James Murray is an American comedian and television personality best known as a member of the comedy troupe The Tenderloins and a star of the hidden-camera show "Impractical Jokers."
  • B. James Murray
    James Murray was an architect known for his work on significant public buildings in Edinburgh, including the design of Parliament House.
  • C. James Murray
    James Murray was an 18th-century British Army officer and colonial administrator best known for his leadership in Canada during the Seven Years' War and as the first British governor of Quebec.
  • D. James Murray
    James Murray was an American silent film actor best known for his acclaimed performance in King Vidor’s 1928 drama "The Crowd."
  • E. Sir James Murray (lexicographer)
    Sir James Murray was a Scottish lexicographer best known as the primary editor of the first edition of the Oxford English Dictionary.
  • 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: James Murray
Triple: [La La La, writer, James Murray]
Generated description
James Murray is a writer best known for his work on the song "La La La."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: James Murray
Target entity description: James Murray is a writer best known for his work on the song "La La La."
  • A. James Murray
    James Murray was an architect known for his work on significant public buildings in Edinburgh, including the design of Parliament House.
  • B. James Murray
    James Murray was an 18th-century British Army officer and colonial administrator best known for his leadership in Canada during the Seven Years' War and as the first British governor of Quebec.
  • C. James Murray
    James Murray is an American comedian and television personality best known as a member of the comedy troupe The Tenderloins and a star of the hidden-camera show "Impractical Jokers."
  • D. James Murray
    James Murray was an American silent film actor best known for his acclaimed performance in King Vidor’s 1928 drama "The Crowd."
  • E. Sir James Murray (lexicographer)
    Sir James Murray was a Scottish lexicographer best known as the primary editor of the first edition of the Oxford English Dictionary.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded830c3c08190a87b81abbbb75377 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9de54380819084568664b63322d2 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fea0791f1c81908dcad401fa3ac245 completed May 9, 2026, 2:48 a.m.
NED2 Entity disambiguation (via description) batch_69fea11a35a88190a5ad6f261fd2d9dc completed May 9, 2026, 2:51 a.m.
Created at: April 10, 2026, 3 a.m.