Triple
T2199280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Need for Speed (2014 film) |
E50450
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Rami Malek |
E14361
|
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: Rami Malek | Statement: [Need for Speed (2014 film), stars, Rami Malek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rami Malek Context triple: [Need for Speed (2014 film), stars, Rami Malek]
-
A.
Rami Malek
chosen
Rami Malek is an American actor best known for his Oscar-winning portrayal of Freddie Mercury in "Bohemian Rhapsody" and his lead role in the television series "Mr. Robot."
-
B.
Sami Malek
Sami Malek is an American educator and the twin brother of Oscar-winning actor Rami Malek.
-
C.
Eddie Redmayne
Eddie Redmayne is an English actor acclaimed for his transformative performances in film and theatre, including his Oscar-winning role in "The Theory of Everything."
-
D.
Oscar Isaac
Oscar Isaac is a Guatemalan-American actor known for his versatile performances in films such as Inside Llewyn Davis, the Star Wars sequel trilogy, Ex Machina, and Dune.
-
E.
Rafe Spall
Rafe Spall is an English actor known for his roles in films such as "Life of Pi," "The Big Short," and "Hot Fuzz," as well as various television and stage productions.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5dbb6e8481908610337cfd2a4bd1 |
completed | March 9, 2026, 5:42 a.m. |
Created at: March 4, 2026, 7:46 p.m.