Triple
T33300054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dexter (main title theme) |
E852553
|
entity |
| Predicate | hasComposerResidenceAtTime |
P154252
|
FINISHED |
| Object | United States |
E14
|
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: United States | Statement: [Dexter (main title theme), hasComposerResidenceAtTime, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComposerResidenceAtTime Context triple: [Dexter (main title theme), hasComposerResidenceAtTime, United States]
-
A.
hasComposerResidence
chosen
Indicates that a composer has a particular place as their residence or primary dwelling.
-
B.
hasComposerInResidence
Indicates that an organization or institution has officially appointed a specific composer to serve in a resident or ongoing compositional role.
-
C.
artistResidenceAtTimeOfWork
Indicates the place where an artist was living at the time a particular work was created.
-
D.
creatorLivedIn
Indicates that the person who created a work resided in a particular place for some period of time.
-
E.
hasPerformerResidence
Indicates that a performer is associated with a particular place as their residence.
- F. None of above.
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_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3543031f2c8190958a655e5496ce14 |
completed | June 19, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:33 a.m.