Triple
T23871496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Mackintosh Ltd. |
E592739
|
entity |
| Predicate | controlsLicensingFor |
P70564
|
FINISHED |
| Object | professional stage productions |
—
|
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: professional stage productions | Statement: [Cameron Mackintosh Ltd., controlsLicensingFor, professional stage productions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsLicensingFor Context triple: [Cameron Mackintosh Ltd., controlsLicensingFor, professional stage productions]
-
A.
hasLicensing
chosen
Indicates that one entity holds or is granted licensing rights, permissions, or authorization in relation to another entity or resource.
-
B.
usesLicensingModel
Indicates that one entity employs or applies a particular licensing model in its operations or offerings.
-
C.
licenseEnforced
Indicates that a license’s terms or restrictions are actively applied and upheld in relation to the associated entity or activity.
-
D.
handlesLicensingFor
Indicates that one entity is responsible for managing or overseeing licensing activities on behalf of another entity.
-
E.
licenseUsed
Indicates that a particular license has been applied to or is being utilized for a specific resource, activity, or 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cbfe1f948190ad2c0d5bbe0c7240 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:14 p.m.