Triple
T17360573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deadmau5 |
E422056
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | testpilot |
—
|
NE ONDG |
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: testpilot | Statement: [Deadmau5, alsoKnownAs, testpilot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: testpilot Context triple: [Deadmau5, alsoKnownAs, testpilot]
-
A.
Test Pilot
Test Pilot is a 1938 American aviation drama film starring Clark Gable, Myrna Loy, and Spencer Tracy that follows the perilous life and relationships of a daring test pilot.
-
B.
TestFlight
TestFlight is Apple’s official platform for distributing and managing beta versions of iOS, iPadOS, watchOS, tvOS, and visionOS apps to testers before App Store release.
-
C.
Teston
Teston is a small village in Kent, England, known for its rural character and location near the River Medway.
-
D.
Firebase Test Lab
Firebase Test Lab is a cloud-based app testing infrastructure from Google that lets developers run automated and manual tests on their mobile apps across a wide range of real and virtual devices.
-
E.
Testour
Testour is a historic town in northern Tunisia known for its Andalusian architectural heritage and cultural traditions.
- 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: testpilot Triple: [Deadmau5, alsoKnownAs, testpilot]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: testpilot Target entity description: testpilot is the techno-focused alias of Canadian electronic music producer and DJ Deadmau5, used for his darker, more minimal club-oriented releases and performances.
-
A.
Test Pilot
Test Pilot is a 1938 American aviation drama film starring Clark Gable, Myrna Loy, and Spencer Tracy that follows the perilous life and relationships of a daring test pilot.
-
B.
TestFlight
TestFlight is Apple’s official platform for distributing and managing beta versions of iOS, iPadOS, watchOS, tvOS, and visionOS apps to testers before App Store release.
-
C.
Teston
Teston is a small village in Kent, England, known for its rural character and location near the River Medway.
-
D.
Firebase Test Lab
Firebase Test Lab is a cloud-based app testing infrastructure from Google that lets developers run automated and manual tests on their mobile apps across a wide range of real and virtual devices.
-
E.
Testour
Testour is a historic town in northern Tunisia known for its Andalusian architectural heritage and cultural traditions.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.