Triple
T38585257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patch 2.4 – Fury of the Sunwell |
E932331
|
entity |
| Predicate | addedProfessionChanges |
P191755
|
FINISHED |
| Object | new crafting recipes |
—
|
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: new crafting recipes | Statement: [Patch 2.4 – Fury of the Sunwell, addedProfessionChanges, new crafting recipes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addedProfessionChanges Context triple: [Patch 2.4 – Fury of the Sunwell, addedProfessionChanges, new crafting recipes]
-
A.
changedProfessionalNameFrom
Indicates that an entity has altered its professional or working name from a specified previous name.
-
B.
occupationalChange
Indicates a change in a person’s job, profession, or occupational status over time.
-
C.
academicAffiliationChange
Indicates a change in an entity’s institutional or academic affiliation from one organization to another.
-
D.
includesProfession
Indicates that one entity’s set of attributes, roles, or members contains a specific profession as part of it.
-
E.
transitionedToProfessionalStatusAs
Indicates that an entity changed from a non-professional state or role into a professional status specifically in relation to 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:32 p.m.