Triple
T25068531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legend of the Five Suns |
E627846
|
entity |
| Predicate | FirstSunDesignation |
P171472
|
FINISHED |
| Object | 4 Jaguar |
—
|
LITERAL 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: 4 Jaguar | Statement: [Legend of the Five Suns, FirstSunDesignation, 4 Jaguar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FirstSunDesignation Context triple: [Legend of the Five Suns, FirstSunDesignation, 4 Jaguar]
-
A.
primaryMirrorDesignation
Indicates that one entity is designated as the primary mirror (main reflective component) associated with another entity.
-
B.
alternateDesignation
Indicates that one entity serves as an alternative name, label, or identifier for another entity.
-
C.
sunType
Indicates the classification relationship specifying what type or category of sun (or star) an entity is associated with.
-
D.
bayerDesignation
Indicates the assignment of a star’s Bayer designation, linking a star to its specific Greek-letter-plus-constellation label used in astronomy.
-
E.
inUniverseDesignation
chosen
Indicates that an entity’s name or label is the one used within the fictional universe itself, as opposed to an external or real-world designation.
- F. None of above.
Provenance (3 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_69e2ff2d71dc8190b4758e57d643cbe4 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 18, 2026, 6:10 a.m.