Triple
T4603335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alabama Shakespeare Festival |
E100370
|
entity |
| Predicate | annualProductions |
P57387
|
FINISHED |
| Object | multiple productions per 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: multiple productions per season | Statement: [Alabama Shakespeare Festival, annualProductions, multiple productions per season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualProductions Context triple: [Alabama Shakespeare Festival, annualProductions, multiple productions per season]
-
A.
notableProductionType
Indicates that the subject is particularly known for producing or creating instances of the specified type.
-
B.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
-
C.
producedFilm
Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
-
D.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
-
E.
associatedProduction
Indicates that there is a related or connected production (such as a work, performance, or manufacturing process) linked to the subject entity.
- 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5975ec688190839bd22669343a76 |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522c811c81909aae4feadae33174 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:11 p.m.