Triple
T3527372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Cuesta |
E74572
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Dexter |
E139146
|
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: Dexter | Statement: [Michael Cuesta, directed, Dexter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dexter Context triple: [Michael Cuesta, directed, Dexter]
-
A.
Dexter
Dexter is the given name of Dexter Scott King, an American civil and animal rights activist and the son of Martin Luther King Jr.
-
B.
Dexter
chosen
Dexter is a critically acclaimed American crime drama television series that follows a Miami forensic blood-spatter analyst who leads a secret life as a vigilante serial killer.
-
C.
Dexter
Dexter is a small town in southeastern New Mexico, United States, known for its rural character and agricultural surroundings.
-
D.
Detective Riley
Detective Riley is a supporting police investigator character in the 2016 psychological thriller film "The Girl on the Train," involved in unraveling the central mystery.
-
E.
The Killing
The Killing is a 1956 film noir crime thriller directed by Stanley Kubrick about a meticulously planned racetrack heist that begins to unravel.
- 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_69ad85d0c5488190a3d8e02ebd01a1aa |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc6d099c8190b2b1e65a56e52089 |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bca41a88190b5550b9c1e763092 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:19 p.m.