Triple
T11117513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument to Balzac |
E262925
|
entity |
| Predicate | hasCasting |
P97042
|
FINISHED |
| Object | bronze cast installed in Paris |
—
|
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: bronze cast installed in Paris | Statement: [Monument to Balzac, hasCasting, bronze cast installed in Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCasting Context triple: [Monument to Balzac, hasCasting, bronze cast installed in Paris]
-
A.
hasCast
Indicates that a creative work features a particular group of performers or actors.
-
B.
hasMultipleCasts
Indicates that an entity is associated with more than one distinct cast or casting instance.
-
C.
hasCastType
Indicates that an entity participates in a production with a specified type of casting role (e.g., lead, supporting, cameo).
-
D.
hasMinimalCast
Indicates that an entity (such as a film or production) involves only a small or minimal number of cast members.
-
E.
hasCaste
Indicates that an entity belongs to or is associated with a particular caste within a social or hierarchical system.
- F. None of above. chosen
Provenance (4 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79af638b08190b7ade5eb0cab6b75 |
completed | April 9, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69d7441cf8188190b8095f622c923156 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750cb26f48190a134614d0aa8e283 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.