Triple
T20269957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiyero |
E499066
|
entity |
| Predicate | hasChildrenInNovel |
P82383
|
FINISHED |
| Object | Yes |
—
|
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: Yes | Statement: [Fiyero, hasChildrenInNovel, Yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildrenInNovel Context triple: [Fiyero, hasChildrenInNovel, Yes]
-
A.
hasChildInFiction
chosen
Indicates that a fictional work or character includes another character as their child within the fictional narrative.
-
B.
hasSiblingInStory
Indicates that one character in a narrative has at least one sibling who also appears within the same story.
-
C.
containsChapter
Indicates that one entity (typically a larger work or document) includes another entity as a chapter within its structure.
-
D.
basedInNovel
Indicates that something (such as a work, adaptation, or element) is derived from, set in, or primarily grounded in the narrative world of a particular novel.
-
E.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dc8e708190b840d687f134c9e8 |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:42 p.m.