Triple
T35053362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassie |
E1011392
|
entity |
| Predicate | auditionContext |
P182051
|
FINISHED |
| Object | auditions for a Broadway chorus line |
—
|
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: auditions for a Broadway chorus line | Statement: [Cassie, auditionContext, auditions for a Broadway chorus line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: auditionContext Context triple: [Cassie, auditionContext, auditions for a Broadway chorus line]
-
A.
auditionedFor
Indicates that one entity formally tried out or performed in order to be considered for a role, position, or opportunity associated with another entity.
-
B.
controlContext
Indicates that one entity governs, constrains, or determines the conditions under which another entity operates or is interpreted.
-
C.
stageContext
Indicates the situational or environmental setting in which an event, action, or interaction takes place.
-
D.
classicalContext
Indicates that the relationship or action occurs within, refers to, or is framed by a classical (e.g., ancient or traditional) cultural, historical, or stylistic context.
-
E.
dialogueContext
Indicates the situational and conversational background in which a dialogue occurs, including prior exchanges and relevant circumstances that shape its interpretation.
- F. None of above. chosen
Provenance (4 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.