Triple
T29315516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolin |
E743365
|
entity |
| Predicate | learnedLavabendingFrom |
P166833
|
FINISHED |
| Object | Ghazan |
—
|
NE NERFINISHED |
How this triple was built (2 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: Ghazan | Statement: [Bolin, learnedLavabendingFrom, Ghazan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: learnedLavabendingFrom Context triple: [Bolin, learnedLavabendingFrom, Ghazan]
-
A.
learnedBloodbendingFrom
Indicates that one entity acquired the ability or knowledge of bloodbending through instruction or training from another entity.
-
B.
canBeLearnedBy
Indicates that a particular subject, skill, or knowledge is capable of being acquired or mastered by a specified learner or group of learners.
-
C.
learnedIn
Indicates that an entity acquired knowledge, skills, or information within a particular context, environment, or source.
-
D.
successorAsPotionsMaster
Indicates that one entity becomes the next Potions Master after another entity, taking over that role or position.
-
E.
learnedFromDemons
Indicates that an entity acquired knowledge, skills, or information through interaction or instruction from demons.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661e9cb308190a56e25dc17df248e |
completed | May 2, 2026, 8:43 p.m. |
Created at: April 28, 2026, 1:19 p.m.