Triple
T1363846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nature (essay) |
E29157
|
entity |
| Predicate | openingConcept |
P27482
|
FINISHED |
| Object | transparent eyeball |
—
|
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: transparent eyeball | Statement: [Nature (essay), openingConcept, transparent eyeball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingConcept Context triple: [Nature (essay), openingConcept, transparent eyeball]
-
A.
openingTheme
Indicates that one entity serves as the opening theme (such as a song or musical piece) for another entity, typically a show, series, or similar work.
-
B.
openingMatch
Indicates that one entity serves as the initial or first match, game, or contest in a series, event, or competition involving another entity.
-
C.
openingThemeComposer
Indicates that the subject is the person who composed the musical opening theme for the specified work or production.
-
D.
openingWorkOf
Indicates that one work serves as the first or introductory piece in relation to another work, such as the opening item in a sequence or collection.
-
E.
initialOpening
Indicates the first or earliest instance in which something is opened, begun, or made accessible.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b5d05c81908b49e282648e073a |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:57 p.m.