Triple
T5965404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Alabama in Huntsville |
E132738
|
entity |
| Predicate | hasMascot |
P52
|
FINISHED |
| Object |
Charger Blue
Charger Blue is the costumed athletic mascot representing the University of Alabama in Huntsville’s sports teams.
|
E558358
|
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: Charger Blue | Statement: [University of Alabama in Huntsville, hasMascot, Charger Blue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charger Blue Context triple: [University of Alabama in Huntsville, hasMascot, Charger Blue]
-
A.
Charger
Charger is the NATO reporting name for the Soviet-era Tupolev Tu-144, one of the world’s first supersonic passenger airliners.
-
B.
Chroma
Chroma is a 1994 experimental book by filmmaker and artist Derek Jarman that blends memoir, theory, and meditation in a series of poetic reflections on color, vision, and his experience of AIDS-related blindness.
-
C.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
D.
Cool Blue
Cool Blue is a popular blue raspberry-flavored sports drink variety in the Gatorade product line.
-
E.
Dart Charge
Dart Charge is the electronic toll collection system used to pay for crossing the River Thames via the Dartford Crossing in the UK.
- 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: Charger Blue Triple: [University of Alabama in Huntsville, hasMascot, Charger Blue]
Generated description
Charger Blue is the costumed athletic mascot representing the University of Alabama in Huntsville’s sports teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charger Blue Target entity description: Charger Blue is the costumed athletic mascot representing the University of Alabama in Huntsville’s sports teams.
-
A.
Charger
Charger is the NATO reporting name for the Soviet-era Tupolev Tu-144, one of the world’s first supersonic passenger airliners.
-
B.
Chroma
Chroma is a 1994 experimental book by filmmaker and artist Derek Jarman that blends memoir, theory, and meditation in a series of poetic reflections on color, vision, and his experience of AIDS-related blindness.
-
C.
Blau
The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
-
D.
Cool Blue
Cool Blue is a popular blue raspberry-flavored sports drink variety in the Gatorade product line.
-
E.
Dart Charge
Dart Charge is the electronic toll collection system used to pay for crossing the River Thames via the Dartford Crossing in the UK.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a3ca1dc819098cde8ae5ec1d845 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3f917c881909c4f780937c5fa7b |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0e8de4f0c81908e8c67b858cdd066 |
completed | March 23, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0e9416ba88190adb835b2ab9630ed |
completed | March 23, 2026, 7:18 a.m. |
Created at: March 22, 2026, 4:03 p.m.