Triple
T38544956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suddenly, Seymour |
E924939
|
entity |
| Predicate | stageRoleOriginator |
P70717
|
FINISHED |
| Object | Ellen Greene |
—
|
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: Ellen Greene | Statement: [Suddenly, Seymour, stageRoleOriginator, Ellen Greene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageRoleOriginator Context triple: [Suddenly, Seymour, stageRoleOriginator, Ellen Greene]
-
A.
stageDirector
Indicates a relationship where one entity serves as the stage director responsible for overseeing and coordinating the staging of a performance involving another entity.
-
B.
stageAct
Indicates that an entity performs or presents an act or performance on a stage before an audience.
-
C.
stagePersonaOf
chosen
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
-
D.
roleInTheatreEcosystem
Indicates the specific function, responsibility, or position an entity holds within the interconnected system of theatre production, distribution, and audience engagement.
-
E.
stageProp
Indicates that one entity is a prop or object used on stage in a performance associated with another 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcec5f8b448190b48330a19b462d24 |
completed | May 7, 2026, 7:47 p.m. |
| PD | Predicate disambiguation | batch_69fceaf1e23881908ca24160a638e329 |
completed | May 7, 2026, 7:41 p.m. |
Created at: May 3, 2026, 4:32 p.m.