Triple
T31074623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gazebo (play) |
E791917
|
entity |
| Predicate | basedOnByAdaptation |
P54922
|
FINISHED |
| Object | The Gazebo (film) |
—
|
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: The Gazebo (film) | Statement: [The Gazebo (play), basedOnByAdaptation, The Gazebo (film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnByAdaptation Context triple: [The Gazebo (play), basedOnByAdaptation, The Gazebo (film)]
-
A.
basedOnAdaptationsOf
Indicates that something is derived from or created using one or more prior adaptations of an original work, rather than directly from the original source.
-
B.
basedOnBy
chosen
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
C.
basedOnAdaptationWorkedOn
Indicates that something is derived from or created based on an adaptation that a particular agent worked on.
-
D.
basedOnStrategyOf
Indicates that one entity’s strategy is derived from, influenced by, or constructed using the strategy of another entity.
-
E.
basedOnType
Indicates that one entity is derived, determined, or classified according to the type or category of another entity.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
Created at: April 29, 2026, 9:02 p.m.