Triple
T10030662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivier Rousteing |
E204842
|
entity |
| Predicate | roleInBalmain |
P91785
|
FINISHED |
| Object | modernizing brand image |
—
|
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: modernizing brand image | Statement: [Olivier Rousteing, roleInBalmain, modernizing brand image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBalmain Context triple: [Olivier Rousteing, roleInBalmain, modernizing brand image]
-
A.
roleInBordeaux
Indicates that an entity holds or has held a specific role, function, or position within the context of Bordeaux.
-
B.
roleInBun
Indicates that an entity has a specific functional or contextual role within a particular bundle, grouping, or composite structure.
-
C.
designedRole
Indicates that one entity has been created, configured, or intended to serve a particular function, purpose, or role in relation to another entity.
-
D.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
E.
roleAtMidway
Indicates that an entity holds or held a specific role, position, or function at the midpoint or intermediate stage of a process, event, or time period.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde7ec088190845656cc2529c771 |
completed | April 2, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:54 p.m.