Triple
T6101129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felix Mendelssohn's A Midsummer Night's Dream |
E135996
|
entity |
| Predicate | associatedWithOccasion |
P61722
|
FINISHED |
| Object | wedding ceremonies |
—
|
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: wedding ceremonies | Statement: [Felix Mendelssohn's A Midsummer Night's Dream, associatedWithOccasion, wedding ceremonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithOccasion Context triple: [Felix Mendelssohn's A Midsummer Night's Dream, associatedWithOccasion, wedding ceremonies]
-
A.
displayOccasion
Indicates the event, context, or situation during which something is presented, shown, or made visible.
-
B.
entryOccasion
Indicates the circumstance, event, or reason that prompts or justifies an entity’s entry or initiation.
-
C.
specialOccasion
chosen
Indicates that an event or situation is associated with a notable or exceptional occasion, such as a celebration, milestone, or culturally significant date.
-
D.
hasOccasionType
Indicates that an occasion, event, or happening is classified as being of a particular type or category.
-
E.
giftOccasion
Indicates that a gift is given in connection with, or to celebrate, a particular occasion or event.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3aa9908190865be98ada141d37 |
completed | March 22, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:13 p.m.