Triple
T34619611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enter a Goldfish |
E888963
|
entity |
| Predicate | hasArtisticSensibility |
P195736
|
FINISHED |
| Object | theatrical |
—
|
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: theatrical | Statement: [Enter a Goldfish, hasArtisticSensibility, theatrical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtisticSensibility Context triple: [Enter a Goldfish, hasArtisticSensibility, theatrical]
-
A.
hasArtisticFocus
Indicates that an entity’s primary artistic attention, theme, or specialization is directed toward a particular subject, style, or medium.
-
B.
hasArtisticRelevance
Indicates that something bears meaningful artistic significance or contributes in a relevant way to artistic value, interpretation, or context.
-
C.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
-
D.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
-
E.
hasArtisticContent
Indicates that something contains or embodies artistic material, expression, or creative work.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fde49a084081909d99b1e0258169d5 |
completed | May 8, 2026, 1:26 p.m. |
| PD | Predicate disambiguation | batch_69fde1d04bd881909a46ecbbf18dfe59 |
completed | May 8, 2026, 1:14 p.m. |
| PDg | Predicate description generation | batch_69fde49953c481909ac352ab36fa9ff2 |
completed | May 8, 2026, 1:26 p.m. |
Created at: May 1, 2026, 2:03 a.m.