Triple
T22240007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottega Veneta |
E549693
|
entity |
| Predicate | TomasMaierTenureEnd |
P146879
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Bottega Veneta, TomasMaierTenureEnd, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TomasMaierTenureEnd Context triple: [Bottega Veneta, TomasMaierTenureEnd, 2018]
-
A.
thirdOfficeHolderEndDate
Indicates the date on which the third person to hold a particular office or position ended their term.
-
B.
GregMarsdenTenureEndYear
Indicates the year in which Greg Marsden’s tenure in a particular role or position came to an end.
-
C.
tenureAsGeneralManagerEnd
Indicates the point in time when an entity’s tenure or service as a general manager comes to an end.
-
D.
secondOfficeHolderEndDate
Indicates the date on which the second person holding a particular office or position ended their term.
-
E.
lastOfficeholderEndDate
Indicates the date on which the most recent officeholder’s term in a given position or office ended.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132133b908190b0fb32a5ee68e1e6 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222e74248190a2d3671049f117f2 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:38 p.m.