Triple

T4741248
Position Surface form Disambiguated ID Type / Status
Subject Caleb Murray E105245 entity
Predicate hasRelative P367 FINISHED
Object John Murray
John Murray is a relatively common personal name shared by numerous individuals across fields such as publishing, politics, sports, and religion.
E466671 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 Murray | Statement: [Caleb Murray, hasRelative, John Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Murray
Context triple: [Caleb Murray, hasRelative, John Murray]
  • A. John Murray
    John Murray was a prominent 19th-century British publishing house known for issuing influential scientific and literary works, including Charles Darwin’s writings.
  • B. John Murray
    John Murray was a pioneering Scottish oceanographer and marine biologist often regarded as one of the founders of modern oceanography.
  • C. John Murray
    John Murray is an American actor and comedian best known for his roles in 1980s films and for being part of the Murray family of performers.
  • D. John Murray V
    John Murray V was a prominent British publisher and member of the influential Murray family publishing dynasty.
  • E. Hamish Hamilton
    Hamish Hamilton is a renowned British publishing imprint known for literary fiction and non-fiction by prominent international authors.
  • 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 Murray
Triple: [Caleb Murray, hasRelative, John Murray]
Generated description
John Murray is a relatively common personal name shared by numerous individuals across fields such as publishing, politics, sports, and religion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Murray
Target entity description: John Murray is a relatively common personal name shared by numerous individuals across fields such as publishing, politics, sports, and religion.
  • A. John Murray
    John Murray was a prominent 19th-century British publishing house known for issuing influential scientific and literary works, including Charles Darwin’s writings.
  • B. John Murray
    John Murray is an American actor and comedian best known for his roles in 1980s films and for being part of the Murray family of performers.
  • C. John Murray
    John Murray was a pioneering Scottish oceanographer and marine biologist often regarded as one of the founders of modern oceanography.
  • D. John Murray V
    John Murray V was a prominent British publisher and member of the influential Murray family publishing dynasty.
  • E. Hamish Hamilton
    Hamish Hamilton is a renowned British publishing imprint known for literary fiction and non-fiction by prominent international authors.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a5f3548190a6acf1dcfd64d11d completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a28ca648190a44d178826926812 completed March 21, 2026, 6:26 a.m.
NEDg Description generation batch_69be3c443c6881908d1a3de22ff1380b completed March 21, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_69be3d0aa1d48190a2af91d251cb5561 completed March 21, 2026, 6:39 a.m.
Created at: March 20, 2026, 1:19 p.m.