Triple
T37331509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stage Manager (Our Town) |
E926762
|
entity |
| Predicate | commentsOnTheatricalIllusion |
P190101
|
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), commentsOnTheatricalIllusion, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commentsOnTheatricalIllusion Context triple: [Stage Manager (Our Town), commentsOnTheatricalIllusion, true]
-
A.
illusionCategory
Indicates the type or class of illusion to which an illusion-related entity or phenomenon belongs.
-
B.
hasStageIllusion
Indicates that one entity performs, features, or is associated with a particular stage illusion in a performance context.
-
C.
theaterExperience
Indicates that an entity has experience or involvement in theater-related activities or performances.
-
D.
hasOpticalIllusionType
Indicates that an entity exhibits or is associated with a specific type or category of optical illusion.
-
E.
theatricalElements
Indicates the presence or use of components related to theater or performance (such as staging, acting, or dramatic techniques) within or between the associated entities.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fcab6d41a88190a3576b4b088dcabd |
completed | May 7, 2026, 3:10 p.m. |
Created at: May 3, 2026, 4:16 p.m.