Triple
T15470672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Ganz |
E376650
|
entity |
| Predicate | workOn |
P30363
|
FINISHED |
| Object | Community |
E227914
|
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: Community | Statement: [Megan Ganz, workOn, Community]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Community Context triple: [Megan Ganz, workOn, Community]
-
A.
Community
chosen
Community is a cult-favorite American sitcom set at a quirky community college, known for its meta-humor, genre-parody episodes, and ensemble cast.
-
B.
Community Field
Community Field is a minor league baseball stadium in Burlington, Iowa, best known as the longtime home of the Burlington Bees.
-
C.
Community Server
Community Server is the free, open-source edition of MongoDB designed for developers to run and manage MongoDB databases without commercial licensing.
-
D.
Community 5
Community 5 is a residential and commercial neighborhood within the city of Tema in Ghana.
-
E.
One Community
One Community is a concept emphasizing unity and shared belonging among diverse individuals or groups within a larger collective.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4448c08190ac640642cc8fc41f |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:33 a.m.