Triple
T13780481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Marie Messier |
E331118
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Vivendi |
E132009
|
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: Vivendi | Statement: [Jean-Marie Messier, employer, Vivendi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivendi Context triple: [Jean-Marie Messier, employer, Vivendi]
-
A.
Vivendi
chosen
Vivendi is a French multinational media and entertainment conglomerate known for its interests in music, television, film, publishing, and communications.
-
B.
Vivendi Universal Entertainment
Vivendi Universal Entertainment was the media and entertainment division of the French conglomerate Vivendi, encompassing film, television, and theme park assets that later became part of NBCUniversal.
-
C.
Vinci SA
Vinci SA is a major French multinational concessions and construction company specializing in infrastructure development and management worldwide.
-
D.
ED&F Man
ED&F Man is a historic British commodities trading and brokerage firm best known for its global sugar, coffee, and agricultural products business.
-
E.
TF1 Group
TF1 Group is a major French media conglomerate best known for operating France’s leading television channel TF1 and various other broadcasting and digital media assets.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d4af2081909628c1691e073f6f |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.