Triple
T5160653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast X |
E116426
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Michelle Rodriguez |
E248787
|
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: Michelle Rodriguez | Statement: [Fast X, starring, Michelle Rodriguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Rodriguez Context triple: [Fast X, starring, Michelle Rodriguez]
-
A.
Michelle Rodriguez
chosen
Michelle Rodriguez is an American actress best known for her tough, action-oriented roles, particularly as Letty Ortiz in the Fast & Furious film franchise.
-
B.
Eiza González
Eiza González is a Mexican actress and singer known for her roles in films such as "Baby Driver," "Alita: Battle Angel," and "Welcome to Marwen," as well as the TV series "From Dusk Till Dawn: The Series."
-
C.
Jordana Brewster
Jordana Brewster is a Panamanian-American actress best known for her role as Mia Toretto in the Fast & Furious film franchise.
-
D.
Sanaa Lathan
Sanaa Lathan is an American actress known for her work in film, television, and voice acting, including prominent roles in movies like "Love & Basketball" and "Brown Sugar."
-
E.
Eva Mendes
Eva Mendes is an American actress and model known for her roles in films such as "Training Day," "Hitch," and "The Place Beyond the Pines."
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79073a54819080cd1e8de6fe906a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07283c08190a8fc23d3041275ee |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:44 p.m.