Triple
T18589116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers: Beast Wars |
E454311
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Cheetor
Cheetor is a young, impulsive Maximal warrior from Transformers: Beast Wars who transforms into a cheetah and serves as one of the series’ primary heroic characters.
|
E1332589
|
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: Cheetor | Statement: [Transformers: Beast Wars, hasCharacter, Cheetor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheetor Context triple: [Transformers: Beast Wars, hasCharacter, Cheetor]
-
A.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
B.
Prowler
Prowler is the high-tech, morally conflicted criminal alter ego of Aaron Davis in Marvel’s Spider-Man universe.
-
C.
Prowler
Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
-
D.
Tigerman
Tigerman is the surname of Stanley Tigerman, a notable American architect associated with postmodern design.
-
E.
Rowdy the Redhawk
Rowdy the Redhawk is the spirited red hawk mascot representing Southeast Missouri State University's athletic teams and school pride.
- 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: Cheetor Triple: [Transformers: Beast Wars, hasCharacter, Cheetor]
Generated description
Cheetor is a young, impulsive Maximal warrior from Transformers: Beast Wars who transforms into a cheetah and serves as one of the series’ primary heroic characters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cheetor Target entity description: Cheetor is a young, impulsive Maximal warrior from Transformers: Beast Wars who transforms into a cheetah and serves as one of the series’ primary heroic characters.
-
A.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
B.
Prowler
Prowler is the high-tech, morally conflicted criminal alter ego of Aaron Davis in Marvel’s Spider-Man universe.
-
C.
Prowler
Prowler is a wooden roller coaster at the Worlds of Fun amusement park in Kansas City, Missouri, known for its fast, terrain-hugging layout through wooded areas.
-
D.
Tigerman
Tigerman is the surname of Stanley Tigerman, a notable American architect associated with postmodern design.
-
E.
Rowdy the Redhawk
Rowdy the Redhawk is the spirited red hawk mascot representing Southeast Missouri State University's athletic teams and school pride.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b3e564819088e60fc25d1976f0 |
completed | April 19, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f89678bc8190b8bc79694d75fd4b |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04fed4e1c4819088f99be7ee8ecd08 |
completed | May 13, 2026, 10:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04ff9d97108190a34c4a8e347df711 |
completed | May 13, 2026, 10:47 p.m. |
Created at: April 10, 2026, 11:44 a.m.