Triple
T25548537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deitinger |
E640374
|
entity |
| Predicate | hasOriginalBearer |
P164793
|
FINISHED |
| Object | Cesare Danova |
—
|
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: Cesare Danova | Statement: [Deitinger, hasOriginalBearer, Cesare Danova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalBearer Context triple: [Deitinger, hasOriginalBearer, Cesare Danova]
-
A.
hasOriginalVersion
Indicates that one entity is the original or initial version from which another entity is derived or adapted.
-
B.
hasOriginalPart
Indicates that an entity includes a component or segment that is part of its initial, original composition.
-
C.
hasOriginalPrefix
Indicates that an entity retains or is associated with its initial or primary prefix from which later forms or variants are derived.
-
D.
hasExplicitOriginal
Indicates that something has a clearly specified, directly stated original source or version from which it is derived.
-
E.
hasOriginalOperator
Indicates that an entity is associated with the operator that originally created, owned, or controlled it.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f650fc44e48190bc0e0a935eac62a6 |
completed | May 2, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f650c466b881908954e43bfebae8a4 |
completed | May 2, 2026, 7:30 p.m. |
Created at: April 21, 2026, 3:35 p.m.