Triple
T3435812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Dress D |
E72447
|
entity |
| Predicate | hasOccasionType |
P48237
|
FINISHED |
| Object | non-ceremonial events |
—
|
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: non-ceremonial events | Statement: [Blue Dress D, hasOccasionType, non-ceremonial events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOccasionType Context triple: [Blue Dress D, hasOccasionType, non-ceremonial events]
-
A.
displayOccasion
Indicates the event, context, or situation during which something is presented, shown, or made visible.
-
B.
servingOccasion
Indicates the occasion, event, or context during which something (typically food or drink) is served.
-
C.
premiereOccasion
Indicates the event or context in which something (such as a work, show, or product) is first publicly presented or launched.
-
D.
marksOccasion
Indicates that an event, action, or item serves to commemorate, celebrate, or formally recognize a particular occasion or milestone.
-
E.
hasFestivityType
Indicates that an event or celebration is classified as belonging to a particular type of festivity.
- F. None of above. chosen
Provenance (4 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_69ad85af50288190a854b76653deee6f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9f2e4b4819085336fb539daf3c7 |
completed | March 8, 2026, 6:03 p.m. |
| PD | Predicate disambiguation | batch_69adae00ad588190bef24373b58a2e1a |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:16 p.m.