Triple
T9826280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Jaglom |
E238659
|
entity |
| Predicate | hasWorkMethod |
P9095
|
FINISHED |
| Object | use of improvisation with actors |
—
|
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: use of improvisation with actors | Statement: [Henry Jaglom, hasWorkMethod, use of improvisation with actors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkMethod Context triple: [Henry Jaglom, hasWorkMethod, use of improvisation with actors]
-
A.
hasWorkingMethod
chosen
Indicates that one entity possesses or employs a functional method, procedure, or technique to achieve a particular task or outcome.
-
B.
hasWorkContext
Indicates that an entity is associated with a particular work-related situation, environment, or context in which it is relevant or applies.
-
C.
hasWorkCount
Indicates the number of works (such as items, creations, or outputs) associated with a given entity.
-
D.
hasWorkOn
Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
-
E.
hasWorkBy
Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
- 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_69ca84e0dd1881909800765d1e21f735 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb32370e8819087c85fb8328587be |
completed | April 2, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69cd03e01ea881909a7d93fc3994ace5 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:32 p.m.