Triple
T8486204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Claim |
E200837
|
entity |
| Predicate | stars |
P1956
|
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: [The Claim, stars, Milla Jovovich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milla Jovovich Context triple: [The Claim, stars, 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.
Lara Stone
Lara Stone is a Dutch fashion model renowned for her distinctive gap-toothed look and work with major luxury brands and magazines.
-
E.
Lara Flynn Boyle
Lara Flynn Boyle is an American actress best known for her role as Donna Hayward in the television series "Twin Peaks" and for her work in films and other TV dramas throughout the 1990s and 2000s.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53c4d608190a766c0e919a4b96f |
completed | March 31, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce3a45e30c8190838ac499bbc66fbd |
completed | April 2, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:12 p.m.