Triple

T9896344
Position Surface form Disambiguated ID Type / Status
Subject RAF Speke E182182 entity
Predicate stationedAircraftType P69819 FINISHED
Object Miles Master
The Miles Master was a British World War II-era advanced trainer aircraft used to prepare Royal Air Force pilots for flying high-performance frontline fighters.
 E828259 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: Miles Master | Statement: [RAF Speke, stationedAircraftType, Miles Master]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miles Master
Context triple: [RAF Speke, stationedAircraftType, Miles Master]
  • A. Miles
    Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
  • B. Miles
    Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing region.
  • C. Miles
    Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
  • D. Miles
    Miles is a charming, affable film composer portrayed by Jack Black in the romantic comedy "The Holiday."
  • E. Miles
    Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
  • 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: Miles Master
Triple: [RAF Speke, stationedAircraftType, Miles Master]
Generated description
The Miles Master was a British World War II-era advanced trainer aircraft used to prepare Royal Air Force pilots for flying high-performance frontline fighters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miles Master
Target entity description: The Miles Master was a British World War II-era advanced trainer aircraft used to prepare Royal Air Force pilots for flying high-performance frontline fighters.
  • A. Miles
    Miles is a mysterious and possibly corrupted young boy in Henry James's gothic novella "The Turn of the Screw."
  • B. Miles
    Miles are the reward points earned and redeemed by members of the Flying Blue frequent flyer loyalty program.
  • C. Miles
    Miles is a charming, affable film composer portrayed by Jack Black in the romantic comedy "The Holiday."
  • D. Miles
    Miles is a small rural town in Queensland, Australia, known as a service and transport hub for the surrounding agricultural and resource-producing region.
  • E. Miles
    Miles is a supporting character in the 1997 film "Soul Food," which centers on the trials, relationships, and traditions of an extended African-American family in Chicago.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4a9d2f4819086cfdd42b613cd8c completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb1355888190baf9846815801e92 completed April 5, 2026, 4:54 a.m.
NEDg Description generation batch_69d1ec31e50081909edfd62308ca4af0 completed April 5, 2026, 4:59 a.m.
NED2 Entity disambiguation (via description) batch_69d1ece816548190825386ad48449df4 completed April 5, 2026, 5:02 a.m.
Created at: March 30, 2026, 8:40 p.m.