Triple
T16065554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juno Temple |
E389721
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object |
Dirty Girl
Dirty Girl is a 2010 coming-of-age comedy film about a rebellious Oklahoma teen who embarks on a road trip to find her father, starring Juno Temple in the lead role.
|
E1193555
|
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: Dirty Girl | Statement: [Juno Temple, actedIn, Dirty Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirty Girl Context triple: [Juno Temple, actedIn, Dirty Girl]
-
A.
Damn Girl
"Damn Girl" is a funk-influenced dance track by Justin Timberlake featuring will.i.am from his 2006 album FutureSex/LoveSounds.
-
B.
Bad Girl
"Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
-
C.
Bad Girl
"Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
-
D.
Dream Girl
Dream Girl is a popular Indian romantic comedy film produced by Ekta Kapoor, known for its quirky premise and humorous take on love and identity.
-
E.
Dream Girl
"Dream Girl" is a song from the album "Chocolate Factory," likely characterized by romantic themes and smooth, R&B-influenced production.
- 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: Dirty Girl Triple: [Juno Temple, actedIn, Dirty Girl]
Generated description
Dirty Girl is a 2010 coming-of-age comedy film about a rebellious Oklahoma teen who embarks on a road trip to find her father, starring Juno Temple in the lead role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dirty Girl Target entity description: Dirty Girl is a 2010 coming-of-age comedy film about a rebellious Oklahoma teen who embarks on a road trip to find her father, starring Juno Temple in the lead role.
-
A.
Damn Girl
"Damn Girl" is a funk-influenced dance track by Justin Timberlake featuring will.i.am from his 2006 album FutureSex/LoveSounds.
-
B.
Bad Girl
"Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
-
C.
Bad Girl
"Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
-
D.
Dream Girl
Dream Girl is a popular Indian romantic comedy film produced by Ekta Kapoor, known for its quirky premise and humorous take on love and identity.
-
E.
Dream Girl
"Dream Girl" is a song from the album "Chocolate Factory," likely characterized by romantic themes and smooth, R&B-influenced production.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837bec688190a77ad347600b6bdc |
completed | April 17, 2026, 12:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ef6648190bf1fe216e78ef660 |
completed | May 10, 2026, 1:50 a.m. |
| NEDg | Description generation | batch_69ffe5a4edfc8190831ddf8a4601764e |
completed | May 10, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe687c204819092a4a8de0b9d624d |
completed | May 10, 2026, 1:59 a.m. |
Created at: April 10, 2026, 4:57 a.m.