Triple
T37550970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death Knight |
E933588
|
entity |
| Predicate | classHall |
P36251
|
FINISHED |
| Object | Acherus: The Ebon Hold |
—
|
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: Acherus: The Ebon Hold | Statement: [Death Knight, classHall, Acherus: The Ebon Hold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classHall Context triple: [Death Knight, classHall, Acherus: The Ebon Hold]
-
A.
typeOfHall
Indicates the specific category or kind to which a particular hall belongs (e.g., lecture hall, dining hall, concert hall).
-
B.
hall
chosen
Indicates that an entity is a hall, i.e., a large room or building space used for gatherings, events, or passage.
-
C.
hasLectureHall
Indicates that an entity possesses, includes, or is associated with a lecture hall as part of its facilities or structure.
-
D.
roomNumberOfIconicLectureHall
Indicates the specific room number assigned to an iconic lecture hall.
-
E.
auditoriumType
Indicates the specific kind or category of auditorium associated with an entity.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:17 p.m.