Triple
T5018442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenji Kohan |
E112791
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jenji
Jenji is the first name of Jenji Kohan, the American television writer and producer best known for creating the series "Weeds" and "Orange Is the New Black."
|
E486644
|
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: Jenji | Statement: [Jenji Kohan, givenName, Jenji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenji Context triple: [Jenji Kohan, givenName, Jenji]
-
A.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
B.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
C.
Jen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
D.
Jihae
Jihae is a South Korean singer, songwriter, and actress known for her role in the National Geographic science-fiction series "Mars."
-
E.
Jeong
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
- 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: Jenji Triple: [Jenji Kohan, givenName, Jenji]
Generated description
Jenji is the first name of Jenji Kohan, the American television writer and producer best known for creating the series "Weeds" and "Orange Is the New Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jenji Target entity description: Jenji is the first name of Jenji Kohan, the American television writer and producer best known for creating the series "Weeds" and "Orange Is the New Black."
-
A.
Jeni
Jeni is a common shortened form or nickname for the given name Jennifer.
-
B.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
C.
Jen
Jen is a common shortened form of the given name Jennifer, often used as a familiar or informal nickname.
-
D.
Jihae
Jihae is a South Korean singer, songwriter, and actress known for her role in the National Geographic science-fiction series "Mars."
-
E.
Jeong
Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
- F. None of above. chosen
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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73415e088190802f9bb283262386 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be927bdfa481908a5face7b4fd7058 |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be93e00fc08190a0706dd7375020f5 |
completed | March 21, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be94a7e15481908f17feafb593b97b |
completed | March 21, 2026, 12:52 p.m. |
Created at: March 20, 2026, 1:35 p.m.