Triple

T3536590
Position Surface form Disambiguated ID Type / Status
Subject Batman E74786 entity
Predicate uses P98 FINISHED
Object Batplane
The Batplane is Batman’s specialized, high-tech aircraft designed for rapid aerial transport, combat, and surveillance in his crime-fighting operations.
E367190 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: Batplane | Statement: [Batman, uses, Batplane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batplane
Context triple: [Batman, uses, Batplane]
  • A. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • B. Petercopter
    Petercopter is a humorous helicopter-themed alter ego of Peter Griffin from the animated television series "Family Guy."
  • C. Wing
    Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
  • D. Wing
    Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
  • E. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • 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: Batplane
Triple: [Batman, uses, Batplane]
Generated description
The Batplane is Batman’s specialized, high-tech aircraft designed for rapid aerial transport, combat, and surveillance in his crime-fighting operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Batplane
Target entity description: The Batplane is Batman’s specialized, high-tech aircraft designed for rapid aerial transport, combat, and surveillance in his crime-fighting operations.
  • A. Flying J
    Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
  • B. Petercopter
    Petercopter is a humorous helicopter-themed alter ego of Peter Griffin from the animated television series "Family Guy."
  • C. Wing
    Wing is an experimental mobile operating system and user interface project developed by X (formerly Google X) to explore new paradigms in smartphone interaction and design.
  • D. Wing
    Wing is an Alphabet Inc. subsidiary focused on developing and operating drone-based delivery services and related logistics technologies.
  • E. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc7b92481908d2d99948780f4d0 completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bd237e881909df210a42346b572 completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38f85806081908dcbb60f505996bf completed March 13, 2026, 4:16 a.m.
NED2 Entity disambiguation (via description) batch_69b39021ef8081909cf38c2403810460 completed March 13, 2026, 4:18 a.m.
Created at: March 8, 2026, 3:20 p.m.