Triple
T30178205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manuela Di Centa |
E767120
|
entity |
| Predicate | Giorgio Di Centa |
P168517
|
FINISHED |
| Object | isCrossCountrySkier |
—
|
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: isCrossCountrySkier | Statement: [Manuela Di Centa, Giorgio Di Centa, isCrossCountrySkier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Giorgio Di Centa Context triple: [Manuela Di Centa, Giorgio Di Centa, isCrossCountrySkier]
-
A.
Joseph Alioto
Indicates a relationship or action involving the person named Joseph Alioto, such as authorship, participation, or association in a given context.
-
B.
Félix Kir
Indicates a relationship where an entity is associated with or named after Félix Kir, typically signifying dedication, commemoration, or attribution to this person.
-
C.
Theodor Wolf
Indicates a relationship or action involving the entity associated with the name "Theodor Wolf," such as authorship, attribution, or participation in an event or context.
-
D.
Robert Leighton
Indicates a relationship or action involving the entity associated with the name "Robert Leighton."
-
E.
Cornelius Ennis
Indicates a relationship or association involving the entity or name “Cornelius Ennis,” such as authorship, attribution, or participation in an event or context.
- 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_69f2247ba20c81909d34f2bfed706e1e |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67f402b9c8190b01ed0fc50b7f5e8 |
completed | May 2, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 7:25 p.m.