Triple
T15916550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jil Sander |
E385983
|
entity |
| Predicate | openedFirstBoutiqueYear |
P39513
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [Jil Sander, openedFirstBoutiqueYear, 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedFirstBoutiqueYear Context triple: [Jil Sander, openedFirstBoutiqueYear, 1967]
-
A.
openedFirstBoutiqueIn
chosen
Indicates that an entity established its first boutique or retail store in a specified location.
-
B.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
C.
originalPlannedOpeningYear
Indicates the year that was initially scheduled or intended for something to open, before any delays or changes.
-
D.
officialOpeningDate
Indicates the calendar date on which something is formally inaugurated or officially opened for use or operation.
-
E.
openedAt
Indicates that an entity began operating, became accessible, or was first made available at a specific time or date.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.