Triple
T24212304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wall of Denial |
E600584
|
entity |
| Predicate | hasWatermark |
P8909
|
FINISHED |
| Object | Esper |
—
|
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: Esper | Statement: [Wall of Denial, hasWatermark, Esper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWatermark Context triple: [Wall of Denial, hasWatermark, Esper]
-
A.
hasWaterFunction
Indicates that an entity performs, provides, or is associated with a specific function or role related to water.
-
B.
hasWaterfall
Indicates that one entity possesses, contains, or features a waterfall associated with it.
-
C.
hasHiddenImage
chosen
Indicates that an entity contains or is associated with an image that is not immediately visible or is intentionally concealed from normal view.
-
D.
hasVignette
Indicates that one entity possesses, includes, or is associated with a vignette (such as a brief scene, illustration, or decorative element).
-
E.
hasTimbrality
Indicates a relationship where one entity possesses or exhibits a particular quality or character of timbre (tone color or sound quality).
- 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_69e2953344c48190875730c7d52112a0 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f2820401bc81909ae1837b41c85526 |
completed | April 29, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:55 p.m.