Triple
T31200805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God Emperor of Dune |
E795469
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Moneo Atreides
Moneo Atreides is a loyal and pragmatic Atreides noble who serves as the chief aide and majordomo to Leto II in Frank Herbert’s *God Emperor of Dune*.
|
E2113541
|
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: Moneo Atreides | Statement: [God Emperor of Dune, mainCharacter, Moneo Atreides]
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: Moneo Atreides Triple: [God Emperor of Dune, mainCharacter, Moneo Atreides]
Generated description
Moneo Atreides is a loyal and pragmatic Atreides noble who serves as the chief aide and majordomo to Leto II in Frank Herbert’s *God Emperor of Dune*.
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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69bc2ca808190876e5cb05012dbfc |
completed | May 3, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a376f81ef248190923df9914bea3f9a |
completed | June 21, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_6a377103757881909527bca6cec85d51 |
completed | June 21, 2026, 5:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a37719691ac8190bc3ad20af00b1cf2 |
completed | June 21, 2026, 5:07 a.m. |
Created at: April 29, 2026, 9:09 p.m.