Triple

T13969508
Position Surface form Disambiguated ID Type / Status
Subject Neil Page E336017 entity
Predicate fullName P16 FINISHED
Object Neil Page
Neil Page is a fictional advertising executive and the uptight, long-suffering protagonist portrayed by Steve Martin in the comedy film "Planes, Trains and Automobiles."
 E1071072 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: Neil Page | Statement: [Neil Page, fullName, Neil Page]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Neil Page
Context triple: [Neil Page, fullName, Neil Page]
  • A. Blake Mere
    Blake Mere is one of the natural meres (shallow lakes) in the Ellesmere area of Shropshire, England.
  • B. Broughton Bay
    Broughton Bay is a coastal bay on the Gower Peninsula in South Wales, known for its scenic sandy beach and surrounding dunes and cliffs.
  • C. Broughton Bay
    Broughton Bay is a coastal inlet on the uninhabited volcanic island of Simushir in Russia’s Kuril Islands chain.
  • D. Itchenor
    Itchenor is a small coastal village in West Sussex, England, known for its sailing, waterfront setting, and picturesque location on Chichester Harbour.
  • E. Pendle Water
    Pendle Water is a small river in Lancashire, England, that flows through the Pendle district and joins the River Calder.
  • 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: Neil Page
Triple: [Neil Page, fullName, Neil Page]
Generated description
Neil Page is a fictional advertising executive and the uptight, long-suffering protagonist portrayed by Steve Martin in the comedy film "Planes, Trains and Automobiles."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Neil Page
Target entity description: Neil Page is a fictional advertising executive and the uptight, long-suffering protagonist portrayed by Steve Martin in the comedy film "Planes, Trains and Automobiles."
  • A. Blake Mere
    Blake Mere is one of the natural meres (shallow lakes) in the Ellesmere area of Shropshire, England.
  • B. Broughton Bay
    Broughton Bay is a coastal bay on the Gower Peninsula in South Wales, known for its scenic sandy beach and surrounding dunes and cliffs.
  • C. Broughton Bay
    Broughton Bay is a coastal inlet on the uninhabited volcanic island of Simushir in Russia’s Kuril Islands chain.
  • D. Itchenor
    Itchenor is a small coastal village in West Sussex, England, known for its sailing, waterfront setting, and picturesque location on Chichester Harbour.
  • E. Pendle Water
    Pendle Water is a small river in Lancashire, England, that flows through the Pendle district and joins the River Calder.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8daeac8190aadd4b3b60222482 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1dc838c8190bbcfefd69ea29965 completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba2b8e32081909cd32ed0bd255072 completed May 6, 2026, 8:21 p.m.
NED2 Entity disambiguation (via description) batch_69fba322460c81909aa36b661f39efcd completed May 6, 2026, 8:22 p.m.
Created at: April 9, 2026, 10:18 p.m.