Triple
T23871500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Mackintosh Ltd. |
E592739
|
entity |
| Predicate | hasKeyRelationshipWith |
P26456
|
FINISHED |
| Object | West End theatres |
—
|
NE NERFINISHED |
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: West End theatres | Statement: [Cameron Mackintosh Ltd., hasKeyRelationshipWith, West End theatres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyRelationshipWith Context triple: [Cameron Mackintosh Ltd., hasKeyRelationshipWith, West End theatres]
-
A.
hasKeyRelationship
chosen
Indicates a relationship where one entity serves as a key (e.g., identifier, access token, or primary reference) that grants access to, controls, or uniquely identifies another entity.
-
B.
hasRelationships
Indicates that an entity is connected to one or more other entities through specified types of relationships.
-
C.
hasRelation
Indicates that there exists some specified relationship or association between two entities.
-
D.
keyRelation
Indicates a functional or defining association where one entity serves as a key or primary reference for accessing, identifying, or organizing another entity.
-
E.
hasNeighborRelationshipWith
Indicates that one entity is located adjacent to or directly next to another entity, sharing a neighbor relationship.
- 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.