Triple
T18805906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Konkle |
E459872
|
entity |
| Predicate | notableWork |
P4
|
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: [Anna Konkle, notableWork, PEN15]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEN15 Context triple: [Anna Konkle, notableWork, 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.
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.
-
C.
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.
-
D.
Avenue 5
Avenue 5 is a retail section within the Sawgrass Mills shopping center, featuring a variety of brand-name stores and outlets.
-
E.
A Good Place
"A Good Place" is a song by the experimental pop band Horn of Plenty.
- 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_69e5a3d6d5e081909d8285e52cb753ba |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.