Triple
T35209700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masters of Atlantis |
E1016638
|
entity |
| Predicate | hasFictionalText |
P197301
|
FINISHED |
| Object |
Codex Pappus
Codex Pappus is a fictional esoteric manuscript central to the satirical secret-society lore in Charles Portis’s novel "Masters of Atlantis."
|
E2131870
|
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: Codex Pappus | Statement: [Masters of Atlantis, hasFictionalText, Codex Pappus]
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: Codex Pappus Triple: [Masters of Atlantis, hasFictionalText, Codex Pappus]
Generated description
Codex Pappus is a fictional esoteric manuscript central to the satirical secret-society lore in Charles Portis’s novel "Masters of Atlantis."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalText Context triple: [Masters of Atlantis, hasFictionalText, Codex Pappus]
-
A.
hasFictionalContent
Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
-
B.
hasFictionalDocument
chosen
Indicates that one entity possesses, is associated with, or includes a document that is fictional or exists only within an imagined or narrative context.
-
C.
hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
-
D.
hasFictionalSignText
Indicates that an entity bears or is associated with text appearing on a fictional sign (e.g., wording depicted on an in-universe sign).
-
E.
hasFictionalForm
Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
- F. None of above.
Provenance (6 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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffc083a54c8190ac80d05ee8d20a6b |
completed | May 9, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380406450481909d89f33c59aa7da1 |
completed | June 21, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a3804ebed608190995d50cb0cf6243a |
completed | June 21, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a380598bfd48190a3d7d541ff5d5cde |
completed | June 21, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69ffbfeb05b88190b4d50ce8124004d9 |
completed | May 9, 2026, 11:14 p.m. |
Created at: May 3, 2026, 4:02 p.m.