Triple
T20618829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strictly Ballroom |
E506643
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Tara Morice
Tara Morice is an Australian actress and dancer best known for her breakout role as Fran in Baz Luhrmann’s film "Strictly Ballroom."
|
E1440793
|
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: Tara Morice | Statement: [Strictly Ballroom, starring, Tara Morice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tara Morice Context triple: [Strictly Ballroom, starring, Tara Morice]
-
A.
Tara McKillop
Tara McKillop is the wife of British comedian and actor Lee Mack, known for maintaining a largely private life outside of his public career.
-
B.
Kimberlea Cloughley
Kimberlea Cloughley is an American photographer best known for her marriage to actor Tommy Lee Jones.
-
C.
Tahnee Welch
Tahnee Welch is an American actress and model best known for her role in the science-fiction film "Cocoon" and for being the daughter of actress Raquel Welch.
-
D.
Melanie Oliver
Melanie Oliver is a film editor known for her work on major feature films and television projects, including the 2019 adaptation of "Cats."
-
E.
Nicole Tuck
Nicole Tuck is an American businesswoman and music industry figure best known as DJ Khaled’s wife and the manager of his career.
- 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: Tara Morice Triple: [Strictly Ballroom, starring, Tara Morice]
Generated description
Tara Morice is an Australian actress and dancer best known for her breakout role as Fran in Baz Luhrmann’s film "Strictly Ballroom."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tara Morice Target entity description: Tara Morice is an Australian actress and dancer best known for her breakout role as Fran in Baz Luhrmann’s film "Strictly Ballroom."
-
A.
Tara McKillop
Tara McKillop is the wife of British comedian and actor Lee Mack, known for maintaining a largely private life outside of his public career.
-
B.
Kimberlea Cloughley
Kimberlea Cloughley is an American photographer best known for her marriage to actor Tommy Lee Jones.
-
C.
Tahnee Welch
Tahnee Welch is an American actress and model best known for her role in the science-fiction film "Cocoon" and for being the daughter of actress Raquel Welch.
-
D.
Melanie Oliver
Melanie Oliver is a film editor known for her work on major feature films and television projects, including the 2019 adaptation of "Cats."
-
E.
Nicole Tuck
Nicole Tuck is an American businesswoman and music industry figure best known as DJ Khaled’s wife and the manager of his career.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abdf9d7c8190969247a4ae55b781 |
completed | April 20, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08bb1588a881909f7197bfc38d9e21 |
completed | May 16, 2026, 6:44 p.m. |
| NEDg | Description generation | batch_6a08bba2e85881909ae887fc5bc3121f |
completed | May 16, 2026, 6:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08bc410f008190b00bf4956d591176 |
completed | May 16, 2026, 6:49 p.m. |
Created at: April 16, 2026, 11:41 a.m.