Triple
T13969477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Page |
E336015
|
entity |
| Predicate | hasDefeated |
P22900
|
FINISHED |
| Object |
Rudy Bears
Rudy Bears is a mixed martial artist who has competed professionally against notable fighters such as Michael Page.
|
E1071068
|
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: Rudy Bears | Statement: [Michael Page, hasDefeated, Rudy Bears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rudy Bears Context triple: [Michael Page, hasDefeated, Rudy Bears]
-
A.
Brisky the Bear
Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
-
B.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
-
C.
Carlton the Bear
Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
-
D.
Ben the bear
Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
-
E.
Toby the Bear
Toby the Bear is the costumed bear mascot representing Mercer University's athletic teams, the Mercer Bears.
- 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: Rudy Bears Triple: [Michael Page, hasDefeated, Rudy Bears]
Generated description
Rudy Bears is a mixed martial artist who has competed professionally against notable fighters such as Michael Page.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rudy Bears Target entity description: Rudy Bears is a mixed martial artist who has competed professionally against notable fighters such as Michael Page.
-
A.
Brisky the Bear
Brisky the Bear is the costumed bear mascot of Japan’s Hokkaido Nippon-Ham Fighters professional baseball team, known for entertaining fans at games and team events.
-
B.
Boomer the Bear
Boomer the Bear is the costumed bear mascot who represents Missouri State University at athletic events and campus activities.
-
C.
Carlton the Bear
Carlton the Bear is the official mascot of the NHL’s Toronto Maple Leafs, depicted as a friendly anthropomorphic polar bear who entertains fans at games and team events.
-
D.
Ben the bear
Ben the bear is the friendly, domesticated brown bear who serves as the central animal character in the television series "Gentle Ben."
-
E.
Toby the Bear
Toby the Bear is the costumed bear mascot representing Mercer University's athletic teams, the Mercer Bears.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8daeac8190aadd4b3b60222482 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1dc838c8190bbcfefd69ea29965 |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba2b8e32081909cd32ed0bd255072 |
completed | May 6, 2026, 8:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba322460c81909aa36b661f39efcd |
completed | May 6, 2026, 8:22 p.m. |
Created at: April 9, 2026, 10:18 p.m.