Triple
T29601675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmyr de Hory |
E754464
|
entity |
| Predicate | forgedStyleOf |
P159539
|
FINISHED |
| Object | Pablo Picasso |
—
|
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: Pablo Picasso | Statement: [Elmyr de Hory, forgedStyleOf, Pablo Picasso]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: forgedStyleOf Context triple: [Elmyr de Hory, forgedStyleOf, Pablo Picasso]
-
A.
forgedIn
Indicates that something was created, shaped, or formed within a particular place, context, or process.
-
B.
forged
chosen
Indicates that an entity has created or produced something false or fraudulent, typically imitating something genuine with the intent to deceive.
-
C.
weaponTypeForged
Indicates that a specific type of weapon has been created or forged, typically specifying the kind or category of weapon produced.
-
D.
weaponForgedFor
Indicates that a weapon was specifically created or crafted for a particular entity, purpose, or context.
-
E.
weaponForged
Indicates that one entity has been created or shaped as a weapon by another entity through a forging process.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66de4472081909316ce333e82f5fd |
completed | May 2, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:22 p.m.