Triple
T35399585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Day at the Beach |
E1023184
|
entity |
| Predicate | scriptAdaptedBy |
P192322
|
FINISHED |
| Object | Gérard Brach |
—
|
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: Gérard Brach | Statement: [A Day at the Beach, scriptAdaptedBy, Gérard Brach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptAdaptedBy Context triple: [A Day at the Beach, scriptAdaptedBy, Gérard Brach]
-
A.
scriptAdaptationFrom
Indicates that a script is adapted or derived from a pre-existing source work (such as a book, play, or earlier script).
-
B.
scriptAdapter
Indicates a relationship where one component adapts or translates a script or scripting interface so it can be used or executed within another system or context.
-
C.
scriptAdoptionAttempt
Indicates an effort by an entity to adopt or begin using a particular script or writing system.
-
D.
scriptFeature
Indicates that a script includes, supports, or is characterized by a particular feature or capability.
-
E.
stageAdaptation
Indicates that one work has been adapted into a performance intended for the stage, such as a play or musical.
- 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: May 3, 2026, 4:03 p.m.