Triple
T25209334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Lupescu |
E631637
|
entity |
| Predicate | appearsInYearPublishedWork |
P97077
|
FINISHED |
| Object | 2008 |
—
|
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: 2008 | Statement: [Miss Lupescu, appearsInYearPublishedWork, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInYearPublishedWork Context triple: [Miss Lupescu, appearsInYearPublishedWork, 2008]
-
A.
appearsInPublicationYear
chosen
Indicates that an entity is featured in a publication that was released in a specific year.
-
B.
appearsInPublication
Indicates that an entity is featured, mentioned, or discussed within a specific publication.
-
C.
appearsInWorkByAuthorFrom
Indicates that an entity appears in a work that was created by an author originating from a specified place or country.
-
D.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
-
E.
relatedWorkPublicationYear
Indicates the year in which a related work associated with the primary entity was published.
- 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 21, 2026, 12:57 p.m.