Triple
T16681178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ai (Chinese surname) |
E405341
|
entity |
| Predicate | meaningOfCharacter |
P64570
|
FINISHED |
| Object | mugwort |
—
|
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: mugwort | Statement: [Ai (Chinese surname), meaningOfCharacter, mugwort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfCharacter Context triple: [Ai (Chinese surname), meaningOfCharacter, mugwort]
-
A.
associatedCharacterMeaning
Indicates that there is a relationship between a character and the meaning, interpretation, or concept that this character is intended to represent.
-
B.
associatedGlyphMeaning
chosen
Indicates a relationship where a glyph is linked to, or represents, a particular meaning or semantic value.
-
C.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
D.
metCharacter
Indicates that one entity has encountered or been introduced to another entity at least once.
-
E.
heroNameMeaning
Indicates that a hero’s name has a particular meaning, interpretation, or etymological significance.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6f5cf481909e7628bbaa884e5a |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.