Triple
T37331492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stage Manager (Our Town) |
E926762
|
entity |
| Predicate | commentsOnEverydayLife |
P21592
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Stage Manager (Our Town), commentsOnEverydayLife, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commentsOnEverydayLife Context triple: [Stage Manager (Our Town), commentsOnEverydayLife, true]
-
A.
general
Indicates that one entity has a broad, non-specific, or overarching relationship or association with another entity.
-
B.
controlsAspectOfLife
Indicates that one entity has power or authority to determine, regulate, or strongly influence a particular aspect or domain of another entity’s life.
-
C.
commentaryOn
chosen
Indicates that one entity provides evaluative or explanatory remarks about another entity, such as a work, event, or statement.
-
D.
generalCategory
Indicates that one entity is classified as a broad or overarching category to which the other entity belongs.
-
E.
exploresDomesticLife
Indicates a relationship where the subject examines, portrays, or delves into aspects of everyday home and family life.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:16 p.m.