Triple

T10588921
Position Surface form Disambiguated ID Type / Status
Subject Wives and Daughters E249929 entity
Predicate composer P1361 FINISHED
Object John E. Keane
John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
 E931622 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 E. Keane | Statement: [Wives and Daughters, composer, John E. Keane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John E. Keane
Context triple: [Wives and Daughters, composer, John E. Keane]
  • A. John M. Keane
    John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
  • B. Thomas J. Sheehan
    Thomas J. Sheehan was a U.S. Army officer best known for leading the defense of Fort Ridgely during the U.S.–Dakota War of 1862.
  • C. Richard M. Linnehan
    Richard M. Linnehan is a NASA astronaut and veterinarian best known for his spacewalks and work on multiple Space Shuttle missions, including servicing the Hubble Space Telescope.
  • D. John J. McAuliffe
    John J. McAuliffe is an American Catholic priest and missionary of the Society of African Missions who served as a bishop in Nigeria.
  • E. James T. O'Donohoe
    James T. O'Donohoe was an American screenwriter active during the silent and early sound film era.
  • 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 E. Keane
Triple: [Wives and Daughters, composer, John E. Keane]
Generated description
John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John E. Keane
Target entity description: John E. Keane is a composer best known for his work on film and television scores, including the adaptation of "Wives and Daughters."
  • A. John M. Keane
    John M. Keane is a television and film composer best known for scoring crime drama series such as CSI: Vegas.
  • B. Thomas J. Sheehan
    Thomas J. Sheehan was a U.S. Army officer best known for leading the defense of Fort Ridgely during the U.S.–Dakota War of 1862.
  • C. Richard M. Linnehan
    Richard M. Linnehan is a NASA astronaut and veterinarian best known for his spacewalks and work on multiple Space Shuttle missions, including servicing the Hubble Space Telescope.
  • D. John J. McAuliffe
    John J. McAuliffe is an American Catholic priest and missionary of the Society of African Missions who served as a bishop in Nigeria.
  • E. James T. O'Donohoe
    James T. O'Donohoe was an American screenwriter active during the silent and early sound film era.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277a39f08190848f24752cfa4b8f completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6847ad9fc819085b0d6c886488c3b completed April 20, 2026, 7:54 p.m.
NEDg Description generation batch_69e68ce8d7988190a0dd3abe5f2afc97 completed April 20, 2026, 8:30 p.m.
NED2 Entity disambiguation (via description) batch_69e6b7a31b4081909b06bc9b6d0a1617 completed April 20, 2026, 11:32 p.m.
Created at: April 6, 2026, 12:40 p.m.