Triple
T38588678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deathknell |
E932402
|
entity |
| Predicate | languageUsedInZone |
P29819
|
FINISHED |
| Object |
Gutterspeak
Gutterspeak is the harsh, undead racial language of the Forsaken in World of Warcraft.
|
E2276838
|
NE FINISHED |
How this triple was built (3 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: Gutterspeak | Statement: [Deathknell, languageUsedInZone, Gutterspeak]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gutterspeak Triple: [Deathknell, languageUsedInZone, Gutterspeak]
Generated description
Gutterspeak is the harsh, undead racial language of the Forsaken in World of Warcraft.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageUsedInZone Context triple: [Deathknell, languageUsedInZone, Gutterspeak]
-
A.
languageZone
Indicates the linguistic region or area in which a language is predominantly used or officially recognized.
-
B.
languageArea
chosen
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
-
C.
languageUsedInLocality
Indicates that a particular language is used or spoken within a specific locality or geographic area.
-
D.
operatorLanguageRegion
Indicates the geographic region or locale in which an operator’s language is used or applicable.
-
E.
languageUsedAs
Indicates that one language is employed in a specific role, function, or context relative to another entity or situation.
- F. None of above.
Provenance (6 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_6a0226c8b2f881909de3c1a5ba40fc49 |
completed | May 11, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ea9c8ccc819090eadfc322c540d4 |
completed | June 29, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_6a41eb6316748190bfbd655925bee0d9 |
completed | June 29, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41ebd65c688190bbc848f604bd9e3c |
completed | June 29, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_6a0225602acc8190978ab4aacc615b8d |
completed | May 11, 2026, 6:52 p.m. |
Created at: May 3, 2026, 4:32 p.m.