Triple
T17239940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eureka College |
E418463
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
Red Devils
The Red Devils are the athletic teams of Eureka College, represented by a devil-themed mascot.
|
E1259592
|
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: Red Devils | Statement: [Eureka College, mascot, Red Devils]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Devils Context triple: [Eureka College, mascot, Red Devils]
-
A.
Red Devils
The Red Devils are the intercollegiate athletic teams representing Dickinson College in Carlisle, Pennsylvania.
-
B.
Red Devils
Red Devils is the popular nickname of the Belgium national football team, known for its strong performances in international competitions and its talented "golden generation" of players.
-
C.
Red Devils
Red Devils is the mascot name representing the athletic teams and school spirit of Halls High School.
-
D.
Red Devils
Red Devils is the famous nickname of the British 1st Airborne Division, an elite World War II paratroop unit renowned for its daring airborne operations.
-
E.
Red Devils
Red Devils is a widely used nickname in sports, most famously associated with Manchester United Football Club and several national teams.
- 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: Red Devils Triple: [Eureka College, mascot, Red Devils]
Generated description
The Red Devils are the athletic teams of Eureka College, represented by a devil-themed mascot.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Devils Target entity description: The Red Devils are the athletic teams of Eureka College, represented by a devil-themed mascot.
-
A.
Red Devils
Red Devils is the mascot name representing the athletic teams and school spirit of Halls High School.
-
B.
Red Devils
The Red Devils are the intercollegiate athletic teams representing Dickinson College in Carlisle, Pennsylvania.
-
C.
Red Devils
Red Devils is a widely used nickname in sports, most famously associated with Manchester United Football Club and several national teams.
-
D.
Red Devils
Red Devils is the famous nickname of the British 6th Airborne Division, an elite World War II paratroop unit known for its daring airborne operations.
-
E.
Red Devils
Red Devils is the popular nickname of the Belgium national football team, known for its strong performances in international competitions and its talented "golden generation" of players.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e1f385c8190ae44e702923b6f66 |
completed | April 19, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170f1511c8190b70cb37e713a406a |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a017351db88819097bfbec41920a488 |
completed | May 11, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0175f8c7d48190896f375385829a34 |
completed | May 11, 2026, 6:23 a.m. |
Created at: April 10, 2026, 5:39 a.m.