Triple
T13667931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Dogs |
E327670
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Baxter
Baxter is the central protagonist of the British television series "Mad Dogs," around whom the show's darkly comic crime-driven plot revolves.
|
E1052698
|
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: Baxter | Statement: [Mad Dogs, mainCharacter, Baxter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baxter Context triple: [Mad Dogs, mainCharacter, Baxter]
-
A.
Baxter
Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
-
B.
Baxter
Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
-
C.
Baxter
Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
-
D.
Baxter
Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
-
E.
Baxter
Baxter is a collaborative industrial robot developed by Rethink Robotics, designed to safely work alongside humans in manufacturing and research environments.
- 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: Baxter Triple: [Mad Dogs, mainCharacter, Baxter]
Generated description
Baxter is the central protagonist of the British television series "Mad Dogs," around whom the show's darkly comic crime-driven plot revolves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baxter Target entity description: Baxter is the central protagonist of the British television series "Mad Dogs," around whom the show's darkly comic crime-driven plot revolves.
-
A.
Baxter
Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
-
B.
Baxter
Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
-
C.
Baxter
Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
-
D.
Baxter
Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
-
E.
Baxter
Baxter is a collaborative industrial robot developed by Rethink Robotics, designed to safely work alongside humans in manufacturing and research environments.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0cfe0c8190b0fe50931e9788cf |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78bd727048190a57a75294a9ab53d |
completed | May 3, 2026, 5:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78c94da6c8190b9bc1d04cee19c3c |
completed | May 3, 2026, 5:57 p.m. |
Created at: April 9, 2026, 9:52 p.m.