Triple
T13051797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Mourns for Adonais? |
E327464
|
entity |
| Predicate | portraysApolloAs |
P108463
|
FINISHED |
| Object | extraterrestrial being |
—
|
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: extraterrestrial being | Statement: [Who Mourns for Adonais?, portraysApolloAs, extraterrestrial being]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysApolloAs Context triple: [Who Mourns for Adonais?, portraysApolloAs, extraterrestrial being]
-
A.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
B.
portraysDeity
Indicates that one entity represents, depicts, or characterizes another entity as a deity or divine being.
-
C.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
D.
portraysPurushaAs
Indicates that one entity represents or depicts another entity as Purusha, the cosmic or primordial being.
-
E.
portraysAdamAs
Indicates that a subject represents or depicts Adam in a particular way, role, or characterization.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
| PDg | Predicate description generation | batch_69d98a9577d081908ddef9ea77e408e2 |
completed | April 10, 2026, 11:41 p.m. |
Created at: April 9, 2026, 8:57 p.m.