Triple
T33432207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Notes on Quenya |
E856158
|
entity |
| Predicate | concernsFictionalPeople |
P153273
|
FINISHED |
| Object | the Elves of Tolkien's legendarium |
—
|
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: the Elves of Tolkien's legendarium | Statement: [Late Notes on Quenya, concernsFictionalPeople, the Elves of Tolkien's legendarium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsFictionalPeople Context triple: [Late Notes on Quenya, concernsFictionalPeople, the Elves of Tolkien's legendarium]
-
A.
usesFictionalCharacters
Indicates that one entity incorporates or employs fictional characters in relation to another entity (e.g., in its content, branding, or activities).
-
B.
isFictionalPersonFrom
Indicates that a fictional person originates from or is associated with a particular place or source.
-
C.
aboutFictionalCharacter
chosen
Indicates that something (such as a work, statement, or discussion) concerns or is centered on a fictional character.
-
D.
worksWithFictionalCharacter
Indicates that one entity collaborates or interacts in a work-related context with another entity that is a fictional character.
-
E.
inspiredByFictionalCharacter
Indicates that an entity’s characteristics, actions, or creation are influenced or modeled after a specific fictional character.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 1, 2026, 1:36 a.m.