Triple
T37462257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awaken the Makers |
E930946
|
entity |
| Predicate | rewardCard |
P189034
|
FINISHED |
| Object |
Amara, Warden of Hope
Amara, Warden of Hope is a powerful Priest legendary minion in Hearthstone known for its game-altering effect that sets your hero’s Health to 40.
|
E2228406
|
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: Amara, Warden of Hope | Statement: [Awaken the Makers, rewardCard, Amara, Warden of Hope]
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: Amara, Warden of Hope Triple: [Awaken the Makers, rewardCard, Amara, Warden of Hope]
Generated description
Amara, Warden of Hope is a powerful Priest legendary minion in Hearthstone known for its game-altering effect that sets your hero’s Health to 40.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rewardCard Context triple: [Awaken the Makers, rewardCard, Amara, Warden of Hope]
-
A.
rewardBrand
Indicates that one entity grants or associates a reward with a particular brand.
-
B.
rewardRedemption
Indicates the act of exchanging accumulated rewards, points, or benefits for goods, services, or other forms of value.
-
C.
rewardUse
Indicates that one entity grants or provides a reward in response to the use or utilization of another entity.
-
D.
loyaltySymbolizedBy
Indicates that an instance of loyalty is represented or expressed by a particular symbol or emblem.
-
E.
loyaltyIncentive
Indicates a relationship where benefits or rewards are provided to encourage or recognize continued commitment or repeat engagement.
- F. None of above. chosen
Provenance (7 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_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408c31a2148190bd812a2493e233ba |
completed | June 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a408d599f448190aa59dc8ee1ccfbe8 |
completed | June 28, 2026, 2:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a408e77450c81909759a071e7ec31fa |
completed | June 28, 2026, 3:01 a.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:17 p.m.