Triple
T20501439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slytherin |
E503313
|
entity |
| Predicate | hasFounderTraitRequirement |
P140326
|
FINISHED |
| Object | ability to speak Parseltongue |
—
|
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: ability to speak Parseltongue | Statement: [Slytherin, hasFounderTraitRequirement, ability to speak Parseltongue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFounderTraitRequirement Context triple: [Slytherin, hasFounderTraitRequirement, ability to speak Parseltongue]
-
A.
hasFounderAchievement
Indicates that an entity has received or holds a notable achievement, recognition, or award specifically in its role as a founder.
-
B.
hasTypicalFounder
Indicates that an entity is commonly or characteristically founded or established by a particular type of founder.
-
C.
hasMythicFounder
Indicates that an entity is traditionally believed to have been founded or established by a legendary or mythological figure rather than a historically verified person.
-
D.
hasFounderName
Indicates that an entity has a founder whose personal name is given by the associated value.
-
E.
workIncludesRoleOfFounder
Indicates that a work involves or credits an entity in the specific role of founder.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cc1ea7081908d17c224b1670bd7 |
completed | April 20, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69e59fcdf6e08190a604204615dc56e6 |
completed | April 20, 2026, 3:38 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:35 a.m.