Triple
T13537556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devious Maids |
E323299
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Gilles Marini |
E452173
|
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: Gilles Marini | Statement: [Devious Maids, portrayedBy, Gilles Marini]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilles Marini Context triple: [Devious Maids, portrayedBy, Gilles Marini]
-
A.
Gilles Marini
chosen
Gilles Marini is a French-American actor and model best known for his roles in "Sex and the City: The Movie" and the TV series "Brothers & Sisters."
-
B.
Thierry Mariani
Thierry Mariani is a French politician known for his long parliamentary career on the right and later alignment with the nationalist party National Rally.
-
C.
Jean-Michel Raimond
Jean-Michel Raimond is a French physicist known for his work in quantum optics and cavity quantum electrodynamics.
-
D.
Michel Stern
Michel Stern is a French advertising executive best known as the husband of actress Lisa Kudrow.
-
E.
Jean-Claude Marmier
Jean-Claude Marmier is a French trail-running organizer best known as one of the founders of the prestigious Ultra-Trail du Mont-Blanc mountain ultramarathon.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9a448c81908fa57a909a9097f7 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.