Triple

T16278372
Position Surface form Disambiguated ID Type / Status
Subject Livingstone E395196 entity
Predicate hasNotableBearer P458 FINISHED
Object Ben Livingstone
Ben Livingstone is an individual notable enough to be specifically cited as a bearer of the surname Livingstone.
E1204776 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: Ben Livingstone | Statement: [Livingstone, hasNotableBearer, Ben Livingstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Livingstone
Context triple: [Livingstone, hasNotableBearer, Ben Livingstone]
  • A. Brad Livingstone
    Brad Livingstone is an American educator and history teacher best known as the husband of Baylor University president Linda A. Livingstone.
  • B. Russell Livingstone
    Russell Livingstone is a film editor known for his work on the drama movie "Where the Day Takes You."
  • C. John Longden
    John Longden was a British actor best known for his leading roles in early sound films, including several directed by Alfred Hitchcock.
  • D. Bruce Livingstone
    Bruce Livingstone is a Canadian entrepreneur best known for creating iStockphoto, one of the first and most influential online microstock photography marketplaces.
  • E. William Welsh
    William Welsh was an early 20th-century American film actor known for his numerous roles in silent-era motion pictures.
  • 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: Ben Livingstone
Triple: [Livingstone, hasNotableBearer, Ben Livingstone]
Generated description
Ben Livingstone is an individual notable enough to be specifically cited as a bearer of the surname Livingstone.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ben Livingstone
Target entity description: Ben Livingstone is an individual notable enough to be specifically cited as a bearer of the surname Livingstone.
  • A. Brad Livingstone
    Brad Livingstone is an American educator and history teacher best known as the husband of Baylor University president Linda A. Livingstone.
  • B. Russell Livingstone
    Russell Livingstone is a film editor known for his work on the drama movie "Where the Day Takes You."
  • C. John Longden
    John Longden was a British actor best known for his leading roles in early sound films, including several directed by Alfred Hitchcock.
  • D. Bruce Livingstone
    Bruce Livingstone is a Canadian entrepreneur best known for creating iStockphoto, one of the first and most influential online microstock photography marketplaces.
  • E. William Welsh
    William Welsh was an early 20th-century American film actor known for his numerous roles in silent-era motion pictures.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460f73648190b5c931f2ba2a09da completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c2b9688190b96d62d83a03f158 completed May 10, 2026, 5:29 a.m.
NEDg Description generation batch_6a00191957b8819083cf576e481c3429 completed May 10, 2026, 5:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0019a24abc819083441f178323c646 completed May 10, 2026, 5:37 a.m.
Created at: April 10, 2026, 5:05 a.m.