Triple
T37897214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Niuzao Temple |
E945312
|
entity |
| Predicate | boss |
P40430
|
FINISHED |
| Object |
General Pa'valak
General Pa'valak is a mantid warlord who serves as a major boss encounter in the Siege of Niuzao Temple dungeon in World of Warcraft: Mists of Pandaria.
|
E2246587
|
NE 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: General Pa'valak | Statement: [Siege of Niuzao Temple, boss, General Pa'valak]
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: General Pa'valak Triple: [Siege of Niuzao Temple, boss, General Pa'valak]
Generated description
General Pa'valak is a mantid warlord who serves as a major boss encounter in the Siege of Niuzao Temple dungeon in World of Warcraft: Mists of Pandaria.
Provenance (5 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbd3bb1f88190a648fadd2175dbf5 |
completed | May 6, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41043e22a88190ab6aab3ec60808ae |
completed | June 28, 2026, 11:23 a.m. |
| NEDg | Description generation | batch_6a4104c79fb0819084b62acaa5ae7237 |
completed | June 28, 2026, 11:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41059ef42c81909a94722a1563fcd1 |
completed | June 28, 2026, 11:29 a.m. |
Created at: May 3, 2026, 4:19 p.m.