Triple
T20183829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Benrubi |
E492801
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Happy Town |
—
|
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: Happy Town | Statement: [Abraham Benrubi, notableWork, Happy Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Happy Town Context triple: [Abraham Benrubi, notableWork, Happy Town]
-
A.
Happy Town
chosen
Happy Town is an American mystery drama television series that follows a small town plagued by abductions and dark secrets.
-
B.
Snowville
Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
-
C.
Hopeville
Hopeville is a small village within the town of Griswold in eastern Connecticut, known for its rural character and proximity to Hopeville Pond and Hopeville Pond State Park.
-
D.
Hope Town
Hope Town is a picturesque historic settlement on Elbow Cay in the Abaco Islands of the Bahamas, known for its candy-striped lighthouse, colonial-style architecture, and boating culture.
-
E.
Maxville
Maxville is a small unincorporated community located in the state of Missouri in the United States.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e668f068748190a0941e98ef5afd59 |
completed | April 20, 2026, 5:57 p.m. |
Created at: April 11, 2026, 11:36 p.m.