Triple
T18805938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya Ishii-Peters |
E459873
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | PEN15 |
—
|
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: PEN15 | Statement: [Maya Ishii-Peters, appearsIn, PEN15]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEN15 Context triple: [Maya Ishii-Peters, appearsIn, PEN15]
-
A.
PEN15
chosen
PEN15 is a critically acclaimed American comedy series that satirically explores the awkwardness of middle school through adult actors playing their teenage selves.
-
B.
Anna Kone in PEN15
Anna Kone in PEN15 is the socially awkward, earnest middle-school protagonist whose cringeworthy coming-of-age experiences anchor the series’ nostalgic and painfully honest exploration of adolescence.
-
C.
Big Mouth
Big Mouth is an animated coming-of-age comedy series on Netflix that humorously and candidly explores the awkwardness of puberty and adolescence.
-
D.
Avenue 5
Avenue 5 is a sci-fi comedy television series set aboard a luxury space cruise ship, created by Armando Iannucci and known for its satirical take on space travel and corporate incompetence.
-
E.
Avenue 5
Avenue 5 is a retail section within the Sawgrass Mills shopping center, featuring a variety of brand-name stores and outlets.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d7f8d08190a3e02fab6dc40bb5 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.