Triple
T3937744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Opera Chorus |
E90954
|
entity |
| Predicate | performsSeason |
P52651
|
FINISHED |
| Object | Metropolitan Opera season |
—
|
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: Metropolitan Opera season | Statement: [Metropolitan Opera Chorus, performsSeason, Metropolitan Opera season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performsSeason Context triple: [Metropolitan Opera Chorus, performsSeason, Metropolitan Opera season]
-
A.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
-
B.
seasonAfter
Indicates that one season occurs chronologically immediately after another season in a sequence.
-
C.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
D.
perfectSeasonYear
Indicates the year in which an entity (such as a team or individual) completed a perfect, undefeated season.
-
E.
dstSeason
Indicates the specific season during which daylight saving time (DST) is in effect for a given context or location.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcfd7d48190bbacee8b5b1b5070 |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aeed3260cc8190bf294bdab507b1f9 |
completed | March 9, 2026, 3:54 p.m. |
Created at: March 9, 2026, 3:24 p.m.