Triple
T23730238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notes of a Dirty Old Man |
E586390
|
entity |
| Predicate | originalColumnVenue |
P153736
|
FINISHED |
| Object | Open City |
—
|
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: Open City | Statement: [Notes of a Dirty Old Man, originalColumnVenue, Open City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalColumnVenue Context triple: [Notes of a Dirty Old Man, originalColumnVenue, Open City]
-
A.
startVenue
Indicates the venue or location where an event, journey, or activity begins.
-
B.
previousVenue
Indicates that one venue was used or occupied before another in a sequence of venues.
-
C.
formerVenueComponentOf
Indicates that a venue previously functioned as a component or part of a larger venue or venue complex, but no longer holds that status.
-
D.
originalPerformanceVenue
Indicates the venue where a performance was first originally presented or premiered.
-
E.
formerVenueLocation
Indicates that a location previously served as the venue for an entity or event but no longer does so.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b9180bf48190a6c3656ef0530463 |
completed | April 29, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15b453da88190889a8d9b21727958 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 17, 2026, 7:09 p.m.