Triple
T18887597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badonviller |
E461995
|
entity |
| Predicate | warMemorialSculptor |
P81959
|
FINISHED |
| Object | Jacques Froment-Meurice |
—
|
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: Jacques Froment-Meurice | Statement: [Badonviller, warMemorialSculptor, Jacques Froment-Meurice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warMemorialSculptor Context triple: [Badonviller, warMemorialSculptor, Jacques Froment-Meurice]
-
A.
sculptorOfMonument
chosen
Indicates that one entity is the sculptor who created or designed a particular monument.
-
B.
sculptorOfThreeServicemen
Indicates that someone is the sculptor who created the artwork titled "Three Servicemen."
-
C.
memorialWork
Indicates that one entity is a commemorative work (such as a monument, plaque, or artwork) created to honor or remember another entity.
-
D.
sculptorOfRelief
Indicates that one entity is the sculptor who created or carved a particular relief artwork.
-
E.
commemoratedPerson
Indicates that the subject serves as a memorial or tribute to the referenced person.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c4777434819098850da0ee1c6b43 |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.