Triple
T37467555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edge of Nowhere |
E931068
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Oculus Studios
Oculus Studios is a virtual reality-focused game publishing and production arm of Meta (formerly Facebook), known for funding and releasing exclusive titles for the Oculus VR platform.
|
E2229427
|
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: Oculus Studios | Statement: [Edge of Nowhere, publisher, Oculus Studios]
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: Oculus Studios Triple: [Edge of Nowhere, publisher, Oculus Studios]
Generated description
Oculus Studios is a virtual reality-focused game publishing and production arm of Meta (formerly Facebook), known for funding and releasing exclusive titles for the Oculus VR platform.
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_69f76ec2af148190897d101070d7f415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8e3a53bc8190a8ea919969a55ecb |
completed | May 6, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a408c350b108190ac0a7f933544bd3a |
completed | June 28, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a408de6d5208190ab2224b2fbdb1ee5 |
completed | June 28, 2026, 2:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a408ecbdde0819096614ac9298e3de8 |
completed | June 28, 2026, 3:02 a.m. |
Created at: May 3, 2026, 4:17 p.m.