Triple
T5842528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kering |
E129626
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | Artémis |
E555703
|
NE 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: Artémis | Statement: [Kering, parentOrganization, Artémis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artémis Context triple: [Kering, parentOrganization, Artémis]
-
A.
Artémis
chosen
Artémis is the French holding company of the Pinault family, overseeing a diverse portfolio of luxury, wine, art, and investment assets.
-
B.
Artemis
Artemis is the Greek goddess of the hunt, wilderness, and childbirth, often depicted as a virgin huntress and protector of young women and animals.
-
C.
Athena
Athena is the ancient Greek goddess of wisdom, warfare, and crafts, and the patron deity of the city of Athens.
-
D.
Athena
Athena is the enigmatic, spiritually gifted protagonist of Paulo Coelho’s novel "The Witch of Portobello," whose search for identity and the divine challenges social and religious conventions.
-
E.
Artemida
Artemida is a coastal town in East Attica, Greece, known for its beaches and proximity to Athens.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034d9da0c8190970319d0dc2fc73f |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107ee88fc8190a6f633ff168b51ed |
completed | March 23, 2026, 9:29 a.m. |
Created at: March 22, 2026, 3:54 p.m.