Triple
T30347382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitagi Senjougahara |
E771901
|
entity |
| Predicate | oddityType |
P169409
|
FINISHED |
| Object | Heavy-Crabbing |
—
|
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: Heavy-Crabbing | Statement: [Hitagi Senjougahara, oddityType, Heavy-Crabbing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oddityType Context triple: [Hitagi Senjougahara, oddityType, Heavy-Crabbing]
-
A.
ovalType
Indicates that one entity is classified as having an oval shape or belonging to an oval-shaped type.
-
B.
oreType
Indicates the specific kind or classification of ore associated with an entity.
-
C.
gimmick
Indicates that an entity uses or features a novel, attention-grabbing trick or device primarily intended to attract interest rather than provide substantive value.
-
D.
eraType
Indicates the classification of a time period or era according to its type or category.
-
E.
typicalVariety
Indicates that one entity is a representative or characteristic example of the variety or type defined by another entity.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68209227c81909b613d5bc9426038 |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 7:56 p.m.