Triple
T37458056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Totemic Call |
E930847
|
entity |
| Predicate | canBeModifiedBy |
P12017
|
FINISHED |
| Object |
Baku the Mooneater
Baku the Mooneater is a powerful Legendary minion from Hearthstone that upgrades a player’s Hero Power at the start of the game if their deck contains only odd-cost cards.
|
E2226845
|
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: Baku the Mooneater | Statement: [Totemic Call, canBeModifiedBy, Baku the Mooneater]
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: Baku the Mooneater Triple: [Totemic Call, canBeModifiedBy, Baku the Mooneater]
Generated description
Baku the Mooneater is a powerful Legendary minion from Hearthstone that upgrades a player’s Hero Power at the start of the game if their deck contains only odd-cost cards.
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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8e336a24819098288895267cf472 |
completed | May 6, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408267ad1c819094e50a10578dace9 |
completed | June 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_6a408301ac7481909a67b2b663296357 |
completed | June 28, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4083b93a508190819fe83da97374f7 |
completed | June 28, 2026, 2:15 a.m. |
Created at: May 3, 2026, 4:17 p.m.