Triple
T1331210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girls |
E28646
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Lena Dunham |
E151336
|
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: Lena Dunham | Statement: [Girls, executiveProducer, Lena Dunham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lena Dunham Context triple: [Girls, executiveProducer, Lena Dunham]
-
A.
Lena Dunham
chosen
Lena Dunham is an American writer, director, and actress best known for creating and starring in the HBO series "Girls," which explored the lives of young women in New York City.
-
B.
Alison Brie
Alison Brie is an American actress known for her roles in television series like "Community" and "Mad Men," as well as her voice work in animated films.
-
C.
Mindy Kaling
Mindy Kaling is an American actress, comedian, writer, and producer best known for her work on "The Office" and for creating and starring in "The Mindy Project."
-
D.
Natasha Lyonne
Natasha Lyonne is an American actress, writer, and director known for her distinctive raspy voice and roles in projects like Russian Doll, the American Pie films, and various acclaimed independent movies.
-
E.
Sarah Silverman
Sarah Silverman is an American stand-up comedian, actress, and writer known for her sharp, provocative humor and appearances in film and television.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c5f86c819098e98b046968954a |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce641c6481908a3d2b9e9fc423d7 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:55 p.m.