Triple
T14240259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Are Lady Parts |
E352984
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Juliette Motamed
Juliette Motamed is an actress best known for her role in the British television comedy series "We Are Lady Parts," which follows an all-female Muslim punk band.
|
E1088858
|
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: Juliette Motamed | Statement: [We Are Lady Parts, starring, Juliette Motamed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Juliette Motamed Context triple: [We Are Lady Parts, starring, Juliette Motamed]
-
A.
Juliette Towhidi
Juliette Towhidi is a British screenwriter known for her work on romantic comedies and drama films, including the adaptation of "Love, Rosie."
-
B.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
C.
Shahrzad Fooladi
Shahrzad Fooladi is the birth name of Snoh Aalegra, a Swedish singer and songwriter known for her soulful, R&B-influenced music.
-
D.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
-
E.
Susan Motamed
Susan Motamed is a film producer best known for her work on the acclaimed documentary "Enron: The Smartest Guys in the Room."
- 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: Juliette Motamed Triple: [We Are Lady Parts, starring, Juliette Motamed]
Generated description
Juliette Motamed is an actress best known for her role in the British television comedy series "We Are Lady Parts," which follows an all-female Muslim punk band.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Juliette Motamed Target entity description: Juliette Motamed is an actress best known for her role in the British television comedy series "We Are Lady Parts," which follows an all-female Muslim punk band.
-
A.
Juliette Towhidi
Juliette Towhidi is a British screenwriter known for her work on romantic comedies and drama films, including the adaptation of "Love, Rosie."
-
B.
Shahrzad Davani
Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
-
C.
Shahrzad Fooladi
Shahrzad Fooladi is the birth name of Snoh Aalegra, a Swedish singer and songwriter known for her soulful, R&B-influenced music.
-
D.
Hedieh Tehrani
Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
-
E.
Susan Motamed
Susan Motamed is a film producer best known for her work on the acclaimed documentary "Enron: The Smartest Guys in the Room."
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62432fb48190b153805b85c4f2d2 |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3253fc2c8190ba2da6fe6a910d85 |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd33acbce88190ac84ad188aa24726 |
completed | May 8, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd342b64b88190b85383f6f51970ed |
completed | May 8, 2026, 12:54 a.m. |
Created at: April 10, 2026, 1:08 a.m.