Triple
T12065391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judy |
E287281
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Tom Edge
Tom Edge is a British screenwriter and producer known for his work on television series such as "The Crown" and for creating the crime drama "Strike."
|
E963871
|
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: Tom Edge | Statement: [Judy, screenwriter, Tom Edge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Edge Context triple: [Judy, screenwriter, Tom Edge]
-
A.
Kevin McGibbon
Kevin McGibbon is a fictional character portrayed by actor Philip J. Amelio II.
-
B.
Stephen Doughty
Stephen Doughty is a British Labour Party politician who has served as a Member of Parliament and held various shadow ministerial roles.
-
C.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
-
D.
Sean Biggerstaff
Sean Biggerstaff is a Scottish actor best known for playing Oliver Wood in the Harry Potter film series.
-
E.
Mike Conovan
Mike Conovan is a fictional boxing manager and trainer who serves as one of the two titular protagonists in the 1952 sports comedy film "Pat and Mike."
- 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: Tom Edge Triple: [Judy, screenwriter, Tom Edge]
Generated description
Tom Edge is a British screenwriter and producer known for his work on television series such as "The Crown" and for creating the crime drama "Strike."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Edge Target entity description: Tom Edge is a British screenwriter and producer known for his work on television series such as "The Crown" and for creating the crime drama "Strike."
-
A.
Kevin McGibbon
Kevin McGibbon is a fictional character portrayed by actor Philip J. Amelio II.
-
B.
Stephen Doughty
Stephen Doughty is a British Labour Party politician who has served as a Member of Parliament and held various shadow ministerial roles.
-
C.
Brian Fawcett
Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
-
D.
Sean Biggerstaff
Sean Biggerstaff is a Scottish actor best known for playing Oliver Wood in the Harry Potter film series.
-
E.
Mike Conovan
Mike Conovan is a fictional boxing manager and trainer who serves as one of the two titular protagonists in the 1952 sports comedy film "Pat and Mike."
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f656f4f481909a1ecac3f89da374 |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f5fed2d57881908103ce89a365cdd4 |
completed | May 2, 2026, 1:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f600bcaf288190b6204f985d3be638 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 8, 2026, 9:48 p.m.