Triple
T11404740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Evans |
E270206
|
entity |
| Predicate | workBelongsToMovement |
P95125
|
FINISHED |
| Object | modernist American drama |
—
|
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: modernist American drama | Statement: [Sam Evans, workBelongsToMovement, modernist American drama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workBelongsToMovement Context triple: [Sam Evans, workBelongsToMovement, modernist American drama]
-
A.
workMovement
Indicates a relationship where an entity’s work or employment involves changing physical locations, such as traveling or relocating as part of their job.
-
B.
workIsInMovement
chosen
Indicates that a work is part of, or belongs to, a particular artistic, cultural, or intellectual movement.
-
C.
workBelongsToCycle
Indicates that a specific work is associated with, and forms part of, a larger cycle or series.
-
D.
associatedWithMovement
Indicates a relationship where an entity is connected to, involved in, or influenced by a particular movement (e.g., social, political, artistic, or ideological).
-
E.
movementIn
Indicates a relationship where an entity moves within, into, or inside a specified area, space, or container.
- 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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014ab46881909fa1d425926c617b |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.