Triple
T4687855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pen15 |
E103963
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Anna Kone
Anna Kone is one of the two awkward, imaginative seventh-grade best friends at the center of the coming-of-age comedy series "PEN15."
|
E459872
|
NE FINISHED |
How this triple was built (4 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: Anna Kone | Statement: [Pen15, mainCharacter, Anna Kone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Kone Context triple: [Pen15, mainCharacter, Anna Kone]
-
A.
Anna Konkle
Anna Konkle is an American actress, writer, and producer best known for co-creating and starring in the coming-of-age comedy series "PEN15."
-
B.
Katja Koroleva
Katja Koroleva is an American soccer referee known for officiating at the highest levels of women’s professional and international football.
-
C.
Daria Kulik
Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
-
D.
Anastasie Arapova
Anastasie Arapova was the Russian-born first wife of Finnish military leader and statesman Carl Gustaf Emil Mannerheim.
-
E.
Hanna Turchynova
Hanna Turchynova is a Ukrainian academic and public figure, best known as the wife of former acting President of Ukraine Oleksandr Turchynov.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Anna Kone Triple: [Pen15, mainCharacter, Anna Kone]
Generated description
Anna Kone is one of the two awkward, imaginative seventh-grade best friends at the center of the coming-of-age comedy series "PEN15."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Kone Target entity description: Anna Kone is one of the two awkward, imaginative seventh-grade best friends at the center of the coming-of-age comedy series "PEN15."
-
A.
Anna Konkle
chosen
Anna Konkle is an American actress, writer, and producer best known for co-creating and starring in the coming-of-age comedy series "PEN15."
-
B.
Katja Koroleva
Katja Koroleva is an American soccer referee known for officiating at the highest levels of women’s professional and international football.
-
C.
Daria Kulik
Daria Kulik is the daughter of Russian Olympic figure skating champion Ilia Kulik.
-
D.
Anastasie Arapova
Anastasie Arapova was the Russian-born first wife of Finnish military leader and statesman Carl Gustaf Emil Mannerheim.
-
E.
Hanna Turchynova
Hanna Turchynova is a Ukrainian academic and public figure, best known as the wife of former acting President of Ukraine Oleksandr Turchynov.
- F. None of above.
Provenance (5 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6397f6888190a9024a51d4d34f2b |
completed | March 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39d43ffc8190b1e6caf34d5eaf0d |
completed | March 21, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69be3d05281481909a74ffb38fb5eb31 |
completed | March 21, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be3dc3ce048190a725ea4b8e8a1ad4 |
completed | March 21, 2026, 6:42 a.m. |
Created at: March 20, 2026, 1:16 p.m.