Triple
T21736596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Lisco |
E536540
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The District |
—
|
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 District | Statement: [Jonathan Lisco, notableWork, The District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The District Context triple: [Jonathan Lisco, notableWork, The District]
-
A.
The District
chosen
The District is an American television drama series that follows the efforts of a tough police commissioner working to reform and reduce crime in Washington, D.C.
-
B.
The Legal District
The Legal District is a prominent area of Dunwall known for housing the city’s courts, legal institutions, and offices of influential lawyers and officials.
-
C.
The Districts
The Districts is an American indie rock band known for its raw, energetic sound and emotionally charged songwriting.
-
D.
The Neighborhood
"The Neighborhood" is a track by American rapper Common from his 2014 album "Nobody's Smiling," which reflects on life and struggles in Chicago's inner-city communities.
-
E.
The Neighborhood
The Neighborhood is a stand-up comedy special by George Wallace showcasing his observational humor and sharp wit.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd0c0a088190bd1926fa4b73d8f4 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 16, 2026, 6:49 p.m.