Triple
T17595574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Traitor (2019 film) |
E428560
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | The Traitor |
—
|
NE NERFINISHED |
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: The Traitor | Statement: [The Traitor (2019 film), title, The Traitor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Traitor Context triple: [The Traitor (2019 film), title, The Traitor]
-
A.
The Traitor
*The Traitor* is a 1630s Jacobean revenge tragedy by James Shirley, known for its intricate court intrigue, moral ambiguity, and exploration of political betrayal.
-
B.
The Traitor
chosen
The Traitor is a 2019 Italian biographical crime drama film that chronicles the life of Mafia turncoat Tommaso Buscetta and his pivotal role in the Maxi Trial against Cosa Nostra.
-
C.
The Traitor
The Traitor is a 1907 sequel novel by Thomas Dixon Jr. that continues his pro–Ku Klux Klan Reconstruction-era narratives, focusing on themes of racial conflict and Southern white supremacy.
-
D.
The Traitor
The Traitor is a title commonly used for works of fiction—such as novels or films—centered on themes of betrayal, divided loyalties, and moral conflict.
-
E.
La Traición
La Traición is a Colombian telenovela best known for featuring actress María Cecilia Botero in a prominent role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ead59c8190a06519311891af3c |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.