Triple

T11949354
Position Surface form Disambiguated ID Type / Status
Subject Spaghetti Junction E284387 entity
Predicate openedBy P421 FINISHED
Object Peter Walker
Peter Walker was a British Conservative politician who served in several senior ministerial roles, including as Secretary of State for the Environment, during the late 20th century.
 E955989 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: Peter Walker | Statement: [Spaghetti Junction, openedBy, Peter Walker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Peter Walker
Context triple: [Spaghetti Junction, openedBy, Peter Walker]
  • A. Peter Walker
    Peter Walker is an actor known for his role in the film "Valerie."
  • B. Peter Walker
    Peter Walker is a renowned American landscape architect known for designing prominent public spaces and memorials worldwide.
  • C. Bob Walker
    Bob Walker was an early 20th-century film actor known for appearing in silent-era productions such as the 1915 drama "The Warrens of Virginia."
  • D. Patrick Walker
    Patrick Walker is a voice actor known for his role in the animated film "Cars 2."
  • E. Robin Walker
    Robin Walker was an influential Irish modernist architect best known for his key role in shaping mid-20th-century architecture in Ireland.
  • 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: Peter Walker
Triple: [Spaghetti Junction, openedBy, Peter Walker]
Generated description
Peter Walker was a British Conservative politician who served in several senior ministerial roles, including as Secretary of State for the Environment, during the late 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Peter Walker
Target entity description: Peter Walker was a British Conservative politician who served in several senior ministerial roles, including as Secretary of State for the Environment, during the late 20th century.
  • A. Peter Walker
    Peter Walker is a renowned American landscape architect known for designing prominent public spaces and memorials worldwide.
  • B. Peter Walker
    Peter Walker is an actor known for his role in the film "Valerie."
  • C. Bob Walker
    Bob Walker was an early 20th-century film actor known for appearing in silent-era productions such as the 1915 drama "The Warrens of Virginia."
  • D. Patrick Walker
    Patrick Walker is a voice actor known for his role in the animated film "Cars 2."
  • E. Robin Walker
    Robin Walker was an influential Irish modernist architect best known for his key role in shaping mid-20th-century architecture in Ireland.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90346825c8190ab4482a1fc8eed56 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458e003a0819082d052fd0bb88d8b completed May 1, 2026, 7:40 a.m.
NEDg Description generation batch_69f4645a7038819089d7533715f8a430 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f4664ff9608190b23e29b3e5c1c326 completed May 1, 2026, 8:37 a.m.
Created at: April 8, 2026, 9:45 p.m.