Triple
T16059969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saturn statuette |
E389582
|
entity |
| Predicate | awardsDomain |
P106208
|
FINISHED |
| Object | science fiction entertainment |
—
|
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: science fiction entertainment | Statement: [Saturn statuette, awardsDomain, science fiction entertainment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardsDomain Context triple: [Saturn statuette, awardsDomain, science fiction entertainment]
-
A.
awardsAre
Indicates that one entity confers or grants awards or honors to another entity.
-
B.
componentAwardDomain
chosen
Indicates that an award is associated with, or applies within, a specific component domain or sub-area of a broader system or context.
-
C.
alsoAwardedIn
Indicates that the same award or recognition was given in an additional time, place, or context beyond the primary one.
-
D.
awardNameIncludes
Indicates that the name of an award contains the specified text or substring.
-
E.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.