Triple
T23877106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | H 111 |
E592897
|
entity |
| Predicate | titleOfWorkInEnglish |
P6688
|
FINISHED |
| Object | The Damnation of Faust |
—
|
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: The Damnation of Faust | Statement: [H 111, titleOfWorkInEnglish, The Damnation of Faust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleOfWorkInEnglish Context triple: [H 111, titleOfWorkInEnglish, The Damnation of Faust]
-
A.
titleInEnglish
chosen
Indicates that an entity’s title or name is given in the English language.
-
B.
titleInLanguage
Indicates that a specific title or name is expressed in a particular language.
-
C.
primarySourceTitleInEnglish
Indicates that the predicate specifies the title of a primary source expressed in the English language.
-
D.
titleOfLargerWork
Indicates that one work is the larger or containing work (such as a book, journal, or collection) in which another, smaller work is included or published.
-
E.
originalTitleOfWork
Indicates that one work is the original title under which another work was first created, published, or released.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cc02277c8190b0c15d6525f3b38d |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:15 p.m.