Triple
T10200564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilraen |
E238871
|
entity |
| Predicate | quoteTranslation |
P52481
|
FINISHED |
| Object | I gave Hope to the Dúnedain, I have kept no hope for myself |
—
|
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: I gave Hope to the Dúnedain, I have kept no hope for myself | Statement: [Gilraen, quoteTranslation, I gave Hope to the Dúnedain, I have kept no hope for myself]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: quoteTranslation Context triple: [Gilraen, quoteTranslation, I gave Hope to the Dúnedain, I have kept no hope for myself]
-
A.
notableQuoteTranslation
Indicates that one quote is a translation of another quote, preserving its meaning across different languages.
-
B.
quoteLanguage
Indicates that a quoted text is expressed in a particular language.
-
C.
translator
Indicates that one entity serves to convert or render content from one language or form into another for a second entity.
-
D.
translationHint
Indicates that one entity provides guidance or suggestions on how another entity should be translated into a different language.
-
E.
translationOn
chosen
Indicates that one entity is a translation of another entity, typically expressing the same content in a different language or linguistic form.
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3f3bac8190a63a81edffe7cda7 |
completed | April 2, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8b7f348190a585daa70de4d4c8 |
completed | April 1, 2026, 8:14 p.m. |
Created at: March 30, 2026, 9:14 p.m.