Triple
T34689689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia Brown |
E890854
|
entity |
| Predicate | portrayedByInStageProduction |
P125509
|
FINISHED |
| Object | various stage actresses |
—
|
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: various stage actresses | Statement: [Georgia Brown, portrayedByInStageProduction, various stage actresses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByInStageProduction Context triple: [Georgia Brown, portrayedByInStageProduction, various stage actresses]
-
A.
portrayedByStageName
Indicates that an entity is depicted or represented by a performer identified specifically by their stage name.
-
B.
portrayedInBroadwayProductionBy
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
-
C.
notableActorInStageProduction
Indicates that a person is a distinguished or prominent actor in a particular stage production.
-
D.
stagePortrayalIncludes
Indicates that a stage portrayal incorporates or features a particular element, character, action, or aspect within the performance.
-
E.
portrayedInOriginalProductionBy
chosen
Indicates that an entity (such as a role or character) was first brought to life or performed in the original production by a specific performer.
- 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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1c91bbac8190b84012dee1cb3b2c |
completed | May 9, 2026, 11:37 a.m. |
| PD | Predicate disambiguation | batch_69ff1c23ca508190bb5a435d765b7e53 |
completed | May 9, 2026, 11:36 a.m. |
Created at: May 1, 2026, 2:05 a.m.