Triple
T32096330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of the Woods |
E819730
|
entity |
| Predicate | refersToCharacterFromAuthor |
P194526
|
FINISHED |
| Object | J. R. R. Tolkien |
—
|
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: J. R. R. Tolkien | Statement: [Queen of the Woods, refersToCharacterFromAuthor, J. R. R. Tolkien]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToCharacterFromAuthor Context triple: [Queen of the Woods, refersToCharacterFromAuthor, J. R. R. Tolkien]
-
A.
refersToCharacter
Indicates that one entity makes reference to, mentions, or points to a specific character as its subject.
-
B.
fictionalCharacterPortrayedFromWorkBy
Indicates that a fictional character is depicted or portrayed in a work that was created by a specific author or creator.
-
C.
basedOnCharacterFromWork
Indicates that one entity is derived from, inspired by, or modeled after a character that appears in another creative work.
-
D.
literarySeriesCharacter
Indicates that a character appears in, is part of, or is associated with a particular literary series.
-
E.
literaryCharacterDepicted
Indicates that a literary character is visually or textually represented in a work such as an image, illustration, or other medium.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
| PDg | Predicate description generation | batch_69fd783e9e5c819087dec7fefa03700d |
completed | May 8, 2026, 5:44 a.m. |
Created at: May 1, 2026, 12:26 a.m.