Triple
T33741329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Kettle |
E864574
|
entity |
| Predicate | appearsOnStageIn |
P55800
|
FINISHED |
| Object | West End production of The Ferryman |
—
|
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: West End production of The Ferryman | Statement: [Tom Kettle, appearsOnStageIn, West End production of The Ferryman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsOnStageIn Context triple: [Tom Kettle, appearsOnStageIn, West End production of The Ferryman]
-
A.
performedOnStage
Indicates that a performance, act, or presentation took place in front of an audience on a stage.
-
B.
representsOnStage
Indicates that one entity performs, portrays, or presents another entity in a live on-stage context.
-
C.
performedOnStageWith
Indicates that two or more entities appeared and performed together in the same stage event or production.
-
D.
hasStageAppearanceWith
Indicates that two or more entities appear together in the same staged performance or event.
-
E.
hasStageAppearance
chosen
Indicates that an entity makes or has made a performance or appearance on a stage, typically before an audience.
- 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_69f3498b24b8819096a65009e521d0e1 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: May 1, 2026, 1:44 a.m.