Triple
T29315473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mako |
E743364
|
entity |
| Predicate | proBendingTeam |
P14284
|
FINISHED |
| Object |
Fire Ferrets
The Fire Ferrets are a pro-bending team in "The Legend of Korra," best known for featuring main characters like Mako, Bolin, and Korra in the Republic City arena.
|
E1861816
|
NE FINISHED |
How this triple was built (3 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: Fire Ferrets | Statement: [Mako, proBendingTeam, Fire Ferrets]
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: Fire Ferrets Triple: [Mako, proBendingTeam, Fire Ferrets]
Generated description
The Fire Ferrets are a pro-bending team in "The Legend of Korra," best known for featuring main characters like Mako, Bolin, and Korra in the Republic City arena.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proBendingTeam Context triple: [Mako, proBendingTeam, Fire Ferrets]
-
A.
professionalTeam
chosen
Indicates that one entity is a professional sports team associated with, representing, or employing the other entity.
-
B.
exampleTeam
Indicates that an entity is a representative or illustrative member of a particular team or group.
-
C.
NLTeam
Indicates that there is a team relationship or membership association between entities, typically linking individuals to a specific team.
-
D.
coachingTeam
Indicates that one entity serves as a coach or coaching staff for a particular team.
-
E.
originalBAATeam
Indicates that an entity is (or was) a member of the original BAA team associated with another entity (such as an organization, project, or initiative).
- F. None of above.
Provenance (6 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_69f0912502c8819087d9e8398ee991a8 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f665ea0a8c8190a0c50c44cec4d9bb |
completed | May 2, 2026, 9 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25a86dfe248190aab018f50488a7e4 |
completed | June 7, 2026, 5:20 p.m. |
| NEDg | Description generation | batch_6a25aca216088190b6e106c9172f638c |
completed | June 7, 2026, 5:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a25b146e9d0819086b956ae8ea30aab |
completed | June 7, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 1:19 p.m.