Triple
T22505241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurofins Scientific |
E556371
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Gilles Martin |
—
|
NE NERFINISHED |
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: Gilles Martin | Statement: [Eurofins Scientific, foundedBy, Gilles Martin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilles Martin Context triple: [Eurofins Scientific, foundedBy, Gilles Martin]
-
A.
Gilles Martin
chosen
Gilles Martin is a French entrepreneur best known as the founder and long-time leader of Eurofins Scientific, a global laboratory testing and analytical services company.
-
B.
Kevin Grevioux
Kevin Grevioux is an American actor, screenwriter, and comic book writer best known for co-creating the dark fantasy film franchise "Underworld."
-
C.
Greg Bouquett
Greg Bouquett is known as the former husband of American actress and director Tamara Tunie.
-
D.
Eric Lecarde
Eric Lecarde is a spear-wielding vampire hunter and one of the main protagonists in the Castlevania series, particularly known for his role in Castlevania: Bloodlines.
-
E.
Tom Junod
Tom Junod is an American journalist and Esquire writer known for his deeply reported, emotionally resonant profiles and feature stories.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e555edc81909ca803587dafd747 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15d5bf0f0819093426d83ebd80ef0 |
completed | April 29, 2026, 1:22 a.m. |
Created at: April 16, 2026, 8:50 p.m.