Triple
T13384313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Girls |
E319400
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Jenna Bans |
E880079
|
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: Jenna Bans | Statement: [Good Girls, developer, Jenna Bans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenna Bans Context triple: [Good Girls, developer, Jenna Bans]
-
A.
Jenna Bans
chosen
Jenna Bans is an American television writer and producer best known for creating and executive producing series such as "Good Girls" and for her work on shows like "Grey's Anatomy" and "Scandal."
-
B.
Jenna York
Jenna York is a member of the York family, known for their ownership and leadership of the NFL’s San Francisco 49ers franchise.
-
C.
Jenna Lazenby
Jenna Lazenby is the daughter of Australian actor and former James Bond star George Lazenby.
-
D.
Jenna Ward
Jenna Ward is the sister of American actress Sela Ward, who is known for her work in film and television.
-
E.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73981816881908aac3ab6b1921904 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:33 p.m.