Triple
T33300032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dexter (main title theme) |
E852553
|
entity |
| Predicate | openingSequenceDepicts |
P186397
|
FINISHED |
| Object | Dexter Morgan’s morning routine |
—
|
LITERAL 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 Morgan’s morning routine | Statement: [Dexter (main title theme), openingSequenceDepicts, Dexter Morgan’s morning routine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingSequenceDepicts Context triple: [Dexter (main title theme), openingSequenceDepicts, Dexter Morgan’s morning routine]
-
A.
openingSequence
Indicates the initial ordered set of actions or events that begin a process, performance, or interaction.
-
B.
openingSequenceType
Indicates the specific kind or category of an opening sequence associated with an entity or event.
-
C.
openingSequenceFormat
Indicates the specific structural or stylistic format used for an opening sequence in a work or presentation.
-
D.
openingSequenceWorkPerformed
Indicates that a specific work is performed as the opening sequence of a larger performance or program.
-
E.
hasOpeningScene
Indicates that a work (such as a film, show, or story) possesses a specific initial scene that begins or introduces its narrative.
- F. None of above. chosen
Provenance (4 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_69f34966ed4c81908dc9dda82d8c7fe3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: May 1, 2026, 1:33 a.m.