Triple
T29142438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amethyst, Princess of Gemworld |
E738672
|
entity |
| Predicate | protagonistRealWorldName |
P167949
|
FINISHED |
| Object | Amy Winston |
—
|
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: Amy Winston | Statement: [Amethyst, Princess of Gemworld, protagonistRealWorldName, Amy Winston]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistRealWorldName Context triple: [Amethyst, Princess of Gemworld, protagonistRealWorldName, Amy Winston]
-
A.
protagonistFullName
Indicates that the subject entity is the full, proper name (including given and family names) of the story’s main protagonist.
-
B.
protagonistAlsoKnownAs
Indicates that an entity serving as a protagonist is alternatively referred to by another name or alias.
-
C.
protagonistDefaultName
Indicates that an entity is the default or canonical name assigned to the protagonist in a given work or context.
-
D.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
E.
protagonistNationality
Indicates the country or national identity to which the protagonist of a work is associated or belongs.
- 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_69f07cb3adb48190a9e0e169cd026634 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 11:37 a.m.