Triple
T22505300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teleperformance |
E556372
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Daniel Julien |
—
|
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: Daniel Julien | Statement: [Teleperformance, keyPerson, Daniel Julien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Julien Context triple: [Teleperformance, keyPerson, Daniel Julien]
-
A.
Daniel Julien
chosen
Daniel Julien is a French entrepreneur best known as the founder and longtime leader of Teleperformance, a global customer experience management and call center outsourcing company.
-
B.
Daniel Brochu
Daniel Brochu is a Canadian voice actor best known for voicing Buster Baxter on the animated children's series "Arthur."
-
C.
Daniel Fabre
Daniel Fabre is a French local politician who serves as the mayor of the commune of Ambérieu-en-Bugey in eastern France.
-
D.
David Janollari
David Janollari is an American television producer and executive known for his work on acclaimed series such as Six Feet Under.
-
E.
Jean-Paul Mousseau
Jean-Paul Mousseau was a Canadian painter and multidisciplinary artist associated with the Automatistes movement, known for integrating abstract art into public spaces and architecture.
- 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.