Triple
T28972276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramus |
E734305
|
entity |
| Predicate | comicReliefFor |
P43839
|
FINISHED |
| Object | Lunar: The Silver Star |
—
|
NE NERFINISHED |
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: Lunar: The Silver Star | Statement: [Ramus, comicReliefFor, Lunar: The Silver Star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comicReliefFor Context triple: [Ramus, comicReliefFor, Lunar: The Silver Star]
-
A.
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.
-
B.
comfortsCharacter
Indicates that one character provides emotional support or consolation to another character.
-
C.
charityCategory
Indicates the specific type or classification of charitable activity or purpose associated with an entity.
-
D.
charitySingleReleased
Indicates that a musical single was released specifically for charitable purposes, such as to raise funds or awareness for a cause.
-
E.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:06 a.m.