Triple
T23540516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Manos Jr. |
E577732
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Darkly Dreaming Dexter |
—
|
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: Darkly Dreaming Dexter | Statement: [James Manos Jr., basedOn, Darkly Dreaming Dexter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darkly Dreaming Dexter Context triple: [James Manos Jr., basedOn, Darkly Dreaming Dexter]
-
A.
Dexter Story
Dexter Story is an American musician, composer, and producer known for his genre-blending work that often fuses soul, jazz, and East African musical influences.
-
B.
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.
-
C.
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.
-
D.
Dexter
Dexter is a surname most notably associated with English crime writer Colin Dexter, creator of the Inspector Morse series.
-
E.
Dexter
Dexter is a small town in Penobscot County, Maine, known for its rural character and local community-centered schools.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.