Triple
T36549153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standing Stone Games |
E901210
|
entity |
| Predicate | publishingPartner |
P1759
|
FINISHED |
| Object |
Daybreak Game Company
Daybreak Game Company is an American video game developer and publisher best known for creating and managing large-scale online multiplayer games such as EverQuest and PlanetSide.
|
E2188914
|
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: Daybreak Game Company | Statement: [Standing Stone Games, publishingPartner, Daybreak Game Company]
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: Daybreak Game Company Triple: [Standing Stone Games, publishingPartner, Daybreak Game Company]
Generated description
Daybreak Game Company is an American video game developer and publisher best known for creating and managing large-scale online multiplayer games such as EverQuest and PlanetSide.
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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c25d0ce48190833d86951784ac0d |
completed | May 3, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39e6ebd3d88190baa3b9d9530fc104 |
completed | June 23, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a39e7dfb7d48190a463c1bfad09de91 |
completed | June 23, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39ea36d084819093f70d2c2abc3e52 |
completed | June 23, 2026, 2:06 a.m. |
Created at: May 3, 2026, 4:11 p.m.