Triple
T16058117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleur Delacour |
E389534
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Clémence Poésy |
E332878
|
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: Clémence Poésy | Statement: [Fleur Delacour, portrayedBy, Clémence Poésy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clémence Poésy Context triple: [Fleur Delacour, portrayedBy, Clémence Poésy]
-
A.
Clémence Poésy
chosen
Clémence Poésy is a French actress and model known for her roles in films such as the Harry Potter series, In Bruges, and various French and international productions.
-
B.
Ludivine Sagnier
Ludivine Sagnier is a French actress known for her versatile performances in both art-house and mainstream films, as well as in international television series.
-
C.
Bérénice Marlohe
Bérénice Marlohe is a French actress best known internationally for her role as Sévérine in the James Bond film "Skyfall."
-
D.
Sophie Marceau
Sophie Marceau is a French actress and filmmaker best known internationally for her roles in films such as "Braveheart" and as a Bond girl in the James Bond franchise.
-
E.
Sylvestra Le Touzel
Sylvestra Le Touzel is a British actress known for her work in film, television, and theatre, including roles in productions such as the comedy-drama "Happy-Go-Lucky."
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837634248190a99cc454ad1e99e0 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe678fc8190b36737a9cd29691c |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:57 a.m.