Triple
T3788250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bing Dwen Dwen |
E85579
|
entity |
| Predicate | nameMeaningComponent |
P24069
|
FINISHED |
| Object | “Bing” means ice |
—
|
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: “Bing” means ice | Statement: [Bing Dwen Dwen, nameMeaningComponent, “Bing” means ice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameMeaningComponent Context triple: [Bing Dwen Dwen, nameMeaningComponent, “Bing” means ice]
-
A.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
B.
codeNameMeaning
Indicates that one entity is the meaning, interpretation, or significance associated with another entity’s code name.
-
C.
hasGivenNameMeaning
chosen
Indicates that a given name carries a particular meaning or semantic interpretation.
-
D.
heroNameMeaning
Indicates that a hero’s name has a particular meaning, interpretation, or etymological significance.
-
E.
nickNameMeaning
Indicates that a nickname is associated with a particular meaning, interpretation, or 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d4bc3c81909bd56e33d43fa8e4 |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.