Triple
T8999695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marked Woman |
E215010
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Lorry Knapp
Lorry Knapp is a screenwriter best known for her work on the film "Marked Woman."
|
E772171
|
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: Lorry Knapp | Statement: [Marked Woman, screenwriter, Lorry Knapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorry Knapp Context triple: [Marked Woman, screenwriter, Lorry Knapp]
-
A.
Lee Marrow
Lee Marrow is an Italian music producer and DJ best known for his influential work in 1990s Eurodance, including creating the sound behind Corona’s hit "The Rhythm of the Night."
-
B.
John Keeble
John Keeble is an English drummer best known as a founding member of the 1980s new wave band Spandau Ballet.
-
C.
Cator Woolford
Cator Woolford was an American businessman and entrepreneur best known as a co-founder of the credit reporting company that became Equifax.
-
D.
Norman Rodway
Norman Rodway was an Irish actor known for his work in classical theatre and film, particularly in Shakespearean roles and British television dramas.
-
E.
Joseph Keeble
Joseph Keeble is a fictional wealthy, good-natured financier in P. G. Wodehouse’s Blandings Castle stories, known for his indulgent generosity and mild-mannered temperament.
- 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: Lorry Knapp Triple: [Marked Woman, screenwriter, Lorry Knapp]
Generated description
Lorry Knapp is a screenwriter best known for her work on the film "Marked Woman."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lorry Knapp Target entity description: Lorry Knapp is a screenwriter best known for her work on the film "Marked Woman."
-
A.
Lee Marrow
Lee Marrow is an Italian music producer and DJ best known for his influential work in 1990s Eurodance, including creating the sound behind Corona’s hit "The Rhythm of the Night."
-
B.
John Keeble
John Keeble is an English drummer best known as a founding member of the 1980s new wave band Spandau Ballet.
-
C.
Cator Woolford
Cator Woolford was an American businessman and entrepreneur best known as a co-founder of the credit reporting company that became Equifax.
-
D.
Norman Rodway
Norman Rodway was an Irish actor known for his work in classical theatre and film, particularly in Shakespearean roles and British television dramas.
-
E.
Joseph Keeble
Joseph Keeble is a fictional wealthy, good-natured financier in P. G. Wodehouse’s Blandings Castle stories, known for his indulgent generosity and mild-mannered temperament.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e3b1f48190bbeafbce363fff53 |
completed | April 1, 2026, 12:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0d987dc81908f1d74f390f18a9c |
completed | April 3, 2026, 2:38 p.m. |
| NEDg | Description generation | batch_69cfd1a32a64819090d423a99ab75362 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd250593881908312200ba7bba617 |
completed | April 3, 2026, 2:44 p.m. |
Created at: March 30, 2026, 7:05 p.m.