Triple
T37036096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viola Eade |
E916638
|
entity |
| Predicate | literaryUniverse |
P23262
|
FINISHED |
| Object |
New World (Chaos Walking universe)
New World is the distant, colonized planet on which Patrick Ness’s Chaos Walking trilogy is set, marked by its harsh environment, native species, and the pervasive Noise that reveals the thoughts of men.
|
E2209828
|
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: New World (Chaos Walking universe) | Statement: [Viola Eade, literaryUniverse, New World (Chaos Walking universe)]
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: New World (Chaos Walking universe) Triple: [Viola Eade, literaryUniverse, New World (Chaos Walking universe)]
Generated description
New World is the distant, colonized planet on which Patrick Ness’s Chaos Walking trilogy is set, marked by its harsh environment, native species, and the pervasive Noise that reveals the thoughts of men.
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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa00ed43508190adb66afc9e68b5e0 |
completed | May 5, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e8c3ce7448190a166c2dd0d00a1a3 |
completed | June 26, 2026, 2:27 p.m. |
| NEDg | Description generation | batch_6a3e95ede37c8190976559fecd7917b3 |
completed | June 26, 2026, 3:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3e9914a3e48190bf59606bacf80c87 |
completed | June 26, 2026, 3:21 p.m. |
Created at: May 3, 2026, 4:14 p.m.