Triple
T24026964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Devoutly Adore You |
E594989
|
entity |
| Predicate | translationOfWorkBy |
P42619
|
FINISHED |
| Object | Thomas Aquinas |
—
|
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: Thomas Aquinas | Statement: [I Devoutly Adore You, translationOfWorkBy, Thomas Aquinas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationOfWorkBy Context triple: [I Devoutly Adore You, translationOfWorkBy, Thomas Aquinas]
-
A.
translatedWorkOf
chosen
Indicates that one work is a translation of another original work.
-
B.
workTranslatedFrom
Indicates that a work is a translation derived from an original work in another language.
-
C.
translationActivity
Indicates that an entity is engaged in the process of translating content from one language or form into another.
-
D.
hasWorkTranslatedInto
Indicates that a work has been translated into a specified language or target work.
-
E.
translationOn
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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d76c083c819090784ecb42effbae |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:54 p.m.