Triple
T11263986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady, Be Good |
E266634
|
entity |
| Predicate | productionForm |
P20517
|
FINISHED |
| Object | book musical |
—
|
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: book musical | Statement: [Lady, Be Good, productionForm, book musical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionForm Context triple: [Lady, Be Good, productionForm, book musical]
-
A.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
B.
productionCategory
Indicates the classification or type of production process, output, or activity that an entity is associated with.
-
C.
productForm
chosen
Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
-
D.
produces
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
E.
productionOrder
Indicates that one entity is created, manufactured, or assembled according to a formal request or plan issued by another entity.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e94d56048190bf808e1bc2188714 |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d7879bc56c8190b2e8d2193f29de05 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.