Triple
T20223781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckbeak |
E495323
|
entity |
| Predicate | isTemperamental |
P32341
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
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: true | Statement: [Buckbeak, isTemperamental, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTemperamental Context triple: [Buckbeak, isTemperamental, true]
-
A.
hasTemperament
chosen
Indicates that an entity possesses a particular characteristic style of behavior, mood, or emotional disposition.
-
B.
temper
Indicates moderating, softening, or counterbalancing the intensity, effect, or quality of something through the influence of something else.
-
C.
isPlayful
Indicates that an entity tends to engage in lighthearted, fun, or mischievous behavior, often for enjoyment or amusement.
-
D.
isSympatheticTo
Indicates that one entity feels or expresses compassion, understanding, or emotional support toward another entity.
-
E.
isEmbittered
Indicates that an entity harbors persistent bitterness or resentment, typically as a result of past experiences or perceived wrongs.
- F. None of above.
Provenance (3 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd827708190b798a30f4e7d533f |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:39 p.m.