Triple
T10608107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luc Besson |
E275928
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Milla Jovovich |
E372946
|
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: Milla Jovovich | Statement: [Luc Besson, spouse, Milla Jovovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milla Jovovich Context triple: [Luc Besson, spouse, Milla Jovovich]
-
A.
Milla Jovovich
chosen
Milla Jovovich is a Ukrainian-born American actress, model, and musician best known for her roles in science fiction and action films such as the Resident Evil series.
-
B.
Laura Kinney
Laura Kinney, also known as X-23, is a Marvel Comics mutant and clone-daughter of Wolverine who becomes a prominent member of the X-Men.
-
C.
Satyana Marie Denisof
Satyana Marie Denisof is the daughter of American actress Alyson Hannigan and actor Alexis Denisof.
-
D.
Kelly Stewart
Kelly Stewart is one of the daughters of legendary American actor James Stewart and his wife Gloria Hatrick McLean.
-
E.
Lara Stone
Lara Stone is a Dutch fashion model renowned for her distinctive gap-toothed look and work with major luxury brands and magazines.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4c38c881908f69bb757b8e03f5 |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95eb726bc8190a8db7357bd126016 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:32 p.m.