Triple
T14215238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinculo |
E352331
|
entity |
| Predicate | comicDevice |
P43839
|
FINISHED |
| Object | slapstick |
—
|
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: slapstick | Statement: [Trinculo, comicDevice, slapstick]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicDevice Context triple: [Trinculo, comicDevice, slapstick]
-
A.
featuresFictionalTechnology
Indicates that an entity includes, depicts, or makes use of imagined or speculative technology that does not exist in reality.
-
B.
builtDevice
Indicates that one entity constructed or assembled a device for or associated with another entity.
-
C.
typicalGadgets
Indicates that the associated items are commonly used or standard gadgets typically found or expected in a given context.
-
D.
characteristicDevice
Indicates that a device is a defining or typical instrument, tool, or equipment associated with a particular entity, context, or activity.
-
E.
comicFunction
chosen
Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6210213481908fac6893e8a9f143 |
completed | April 14, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69de05bcd7d48190a4848d9320404aa6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:06 a.m.