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.