Triple
T4311039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judgment of Paris |
E94074
|
entity |
| Predicate | appleInscription |
P21497
|
FINISHED |
| Object | "to the fairest" |
—
|
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: "to the fairest" | Statement: [Judgment of Paris, appleInscription, "to the fairest"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appleInscription Context triple: [Judgment of Paris, appleInscription, "to the fairest"]
-
A.
marketedAsByApple
Indicates that a product, service, or feature is promoted or presented in marketing materials specifically by Apple as having a particular name, positioning, or branding.
-
B.
requiresAppleID
Indicates that access to or use of something is contingent upon the user having and using an Apple ID.
-
C.
airPower
Indicates the extent to which one entity can project, control, or influence force through the use of aircraft and other aerial capabilities over another entity or area.
-
D.
symbolOnInsignia
chosen
Indicates that a particular symbol appears on or is featured as part of an insignia.
-
E.
announcedWithDevice
Indicates that an announcement or communication was made using a specific device as the medium or tool.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350d6cba08190a9440cee7b9dc40d |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:11 p.m.