Triple
T20043116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganz |
E497480
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Megan Ganz |
—
|
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: Megan Ganz | Statement: [Ganz, hasNotableBearer, Megan Ganz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Megan Ganz Context triple: [Ganz, hasNotableBearer, Megan Ganz]
-
A.
Megan Ganz
chosen
Megan Ganz is an American television writer, producer, and director known for her work on acclaimed comedy series such as Community, Modern Family, and It's Always Sunny in Philadelphia.
-
B.
Megan Parker
Megan Parker is the mischievous, prank-loving younger sister character from the Nickelodeon sitcom "Drake & Josh."
-
C.
Carly Mensch
Carly Mensch is an American television writer, producer, and playwright best known for co-creating the Netflix series "GLOW" and her work on shows like "Weeds" and "Orange Is the New Black."
-
D.
Megan McCloskey
Megan McCloskey is an American journalist known for her investigative reporting, particularly on military and veterans’ issues.
-
E.
Megan Everett
Megan Everett is a writer and producer best known as the wife of Swedish actor Stellan Skarsgård.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.