Triple
T10396614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tin Star |
E245036
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Tanya Moodie
Tanya Moodie is a British actress known for her work in television, film, and theatre, including prominent roles in series such as Tin Star and Motherland.
|
E860477
|
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: Tanya Moodie | Statement: [Tin Star, starring, Tanya Moodie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Moodie Context triple: [Tin Star, starring, Tanya Moodie]
-
A.
Sharyn Mousley
Sharyn Mousley is the daughter of the late British comedian and television presenter Paul O’Grady.
-
B.
Lucinda Edmonds
Lucinda Edmonds is the birth name of Lucinda Riley, a bestselling Irish author known for her historical and family saga novels, including the "Seven Sisters" series.
-
C.
Catherine Moses
Catherine Moses was the sister of famed American sharpshooter and exhibition shooter Annie Oakley.
-
D.
Deborah Milton
Deborah Milton was the youngest daughter of the English poet John Milton, known primarily through biographical accounts of her father's later life and family.
-
E.
Elizabeth Flanagan
Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
- 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: Tanya Moodie Triple: [Tin Star, starring, Tanya Moodie]
Generated description
Tanya Moodie is a British actress known for her work in television, film, and theatre, including prominent roles in series such as Tin Star and Motherland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tanya Moodie Target entity description: Tanya Moodie is a British actress known for her work in television, film, and theatre, including prominent roles in series such as Tin Star and Motherland.
-
A.
Sharyn Mousley
Sharyn Mousley is the daughter of the late British comedian and television presenter Paul O’Grady.
-
B.
Lucinda Edmonds
Lucinda Edmonds is the birth name of Lucinda Riley, a bestselling Irish author known for her historical and family saga novels, including the "Seven Sisters" series.
-
C.
Catherine Moses
Catherine Moses was the sister of famed American sharpshooter and exhibition shooter Annie Oakley.
-
D.
Deborah Milton
Deborah Milton was the youngest daughter of the English poet John Milton, known primarily through biographical accounts of her father's later life and family.
-
E.
Elizabeth Flanagan
Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9cf79348190975d6c1791e3b621 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d795cf331c8190b35caf3997dc29a3 |
completed | April 9, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69d7bde050ac8190b87a0c81700ad1b1 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e60afaf481909a0790c94e323143 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:06 p.m.