Triple
T18912728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autobots |
E462645
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Aerialbots
The Aerialbots are an Autobot subgroup of jet-forming Transformers that combine into the powerful super-robot Superion.
|
E1349476
|
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: Aerialbots | Statement: [Autobots, hasSubgroup, Aerialbots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aerialbots Context triple: [Autobots, hasSubgroup, Aerialbots]
-
A.
Drone
"Drone" is a song by the American rock band Alice in Chains from their album "Rainier Fog."
-
B.
Drones
Drones is a concept-driven rock album by the English band Muse that explores themes of dehumanization, warfare, and control through heavy guitar riffs and dramatic, cinematic production.
-
C.
Heron UAV
The Heron UAV is a medium-altitude long-endurance unmanned aerial vehicle developed by Israel Aerospace Industries, widely used for intelligence, surveillance, and reconnaissance missions.
-
D.
ANKA UAV
ANKA UAV is a Turkish-made medium-altitude long-endurance unmanned aerial vehicle designed primarily for intelligence, surveillance, and reconnaissance missions.
-
E.
DJI Agras
DJI Agras is a series of agricultural drones designed for tasks like crop spraying, seeding, and precision farming.
- 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: Aerialbots Triple: [Autobots, hasSubgroup, Aerialbots]
Generated description
The Aerialbots are an Autobot subgroup of jet-forming Transformers that combine into the powerful super-robot Superion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aerialbots Target entity description: The Aerialbots are an Autobot subgroup of jet-forming Transformers that combine into the powerful super-robot Superion.
-
A.
Drone
"Drone" is a song by the American rock band Alice in Chains from their album "Rainier Fog."
-
B.
Drones
Drones is a concept-driven rock album by the English band Muse that explores themes of dehumanization, warfare, and control through heavy guitar riffs and dramatic, cinematic production.
-
C.
Heron UAV
The Heron UAV is a medium-altitude long-endurance unmanned aerial vehicle developed by Israel Aerospace Industries, widely used for intelligence, surveillance, and reconnaissance missions.
-
D.
ANKA UAV
ANKA UAV is a Turkish-made medium-altitude long-endurance unmanned aerial vehicle designed primarily for intelligence, surveillance, and reconnaissance missions.
-
E.
DJI Agras
DJI Agras is a series of agricultural drones designed for tasks like crop spraying, seeding, and precision farming.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c624516c81909e6bf04707d3c71c |
completed | April 20, 2026, 6:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05910ffc8081908738b5e7ef08d52c |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05932531ec8190813d393c85d7c398 |
completed | May 14, 2026, 9:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0593b4c6b0819094d267c568332250 |
completed | May 14, 2026, 9:19 a.m. |
Created at: April 10, 2026, 11:58 a.m.