Triple

T2953067
Position Surface form Disambiguated ID Type / Status
Subject Keith Joseph E79865 entity
Predicate father P120 FINISHED
Object Samuel Joseph
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
E318771 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: Samuel Joseph | Statement: [Keith Joseph, father, Samuel Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samuel Joseph
Context triple: [Keith Joseph, father, Samuel Joseph]
  • A. Samuel Baum
    Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
  • B. Samuel Melvin
    Samuel Melvin was a young American soldier from Concord, Massachusetts, whose death in the Civil War is honored by the Melvin Memorial.
  • C. Samuel Miller
    Samuel Miller was a prominent early 19th-century American Presbyterian theologian, educator, and church historian who helped shape Reformed theological education in the United States.
  • D. Samuel Holdheim
    Samuel Holdheim was a pioneering 19th-century German rabbi and theologian who became one of the most radical and influential leaders of early Reform Judaism.
  • E. Abraham Solomon
    Abraham Solomon was a 19th-century British painter known for his genre scenes and association with the Victorian art world.
  • 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: Samuel Joseph
Triple: [Keith Joseph, father, Samuel Joseph]
Generated description
Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Samuel Joseph
Target entity description: Samuel Joseph is the son of British Conservative politician and former Education Secretary Keith Joseph.
  • A. Samuel Baum
    Samuel Baum is a television writer and producer best known for creating the crime drama series "Lie to Me."
  • B. Samuel Melvin
    Samuel Melvin was a young American soldier from Concord, Massachusetts, whose death in the Civil War is honored by the Melvin Memorial.
  • C. Samuel Miller
    Samuel Miller was a prominent early 19th-century American Presbyterian theologian, educator, and church historian who helped shape Reformed theological education in the United States.
  • D. Samuel Holdheim
    Samuel Holdheim was a pioneering 19th-century German rabbi and theologian who became one of the most radical and influential leaders of early Reform Judaism.
  • E. Abraham Solomon
    Abraham Solomon was a 19th-century British painter known for his genre scenes and association with the Victorian art world.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fe4b688190a0f68c4f80cd6f8f completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e1d59a48190b06ebe298590feb8 completed March 11, 2026, 8:55 a.m.
NEDg Description generation batch_69b12f188c7c81908d1d575252dc4bda completed March 11, 2026, 9 a.m.
NED2 Entity disambiguation (via description) batch_69b1c9bccb3081909e6869b5cba68117 completed March 11, 2026, 7:59 p.m.
Created at: March 8, 2026, 2:57 p.m.