Triple
T12531133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffragette |
E299565
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Sarah Gavron
Sarah Gavron is a British film director known for socially conscious dramas such as "Suffragette" and "Brick Lane."
|
E988400
|
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: Sarah Gavron | Statement: [Suffragette, director, Sarah Gavron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Gavron Context triple: [Suffragette, director, Sarah Gavron]
-
A.
Hannah Gavron
Hannah Gavron was a British sociologist and writer known for her influential work on the experiences of young married women in mid-20th-century Britain.
-
B.
Abi Morgan
Abi Morgan is a British playwright and screenwriter known for her work on acclaimed films and television dramas such as "The Iron Lady," "Suffragette," and "The Hour."
-
C.
Simon Gavron
Simon Gavron is the father of British-American actor Rafi Gavron.
-
D.
Josie Rourke
Josie Rourke is a British theatre and film director known for her acclaimed stage work and for making her feature film debut with the historical drama "Mary Queen of Scots" (2018).
-
E.
Lone Scherfig
Lone Scherfig is a Danish film director and screenwriter known for her character-driven dramas and romantic comedies, including the acclaimed film "An Education."
- 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: Sarah Gavron Triple: [Suffragette, director, Sarah Gavron]
Generated description
Sarah Gavron is a British film director known for socially conscious dramas such as "Suffragette" and "Brick Lane."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Gavron Target entity description: Sarah Gavron is a British film director known for socially conscious dramas such as "Suffragette" and "Brick Lane."
-
A.
Hannah Gavron
Hannah Gavron was a British sociologist and writer known for her influential work on the experiences of young married women in mid-20th-century Britain.
-
B.
Abi Morgan
Abi Morgan is a British playwright and screenwriter known for her work on acclaimed films and television dramas such as "The Iron Lady," "Suffragette," and "The Hour."
-
C.
Simon Gavron
Simon Gavron is the father of British-American actor Rafi Gavron.
-
D.
Josie Rourke
Josie Rourke is a British theatre and film director known for her acclaimed stage work and for making her feature film debut with the historical drama "Mary Queen of Scots" (2018).
-
E.
Lone Scherfig
Lone Scherfig is a Danish film director and screenwriter known for her character-driven dramas and romantic comedies, including the acclaimed film "An Education."
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc8866c81908821525b595715e2 |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64da25bf88190889273bf41e2f154 |
completed | May 2, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f65213ed84819086fda178aaf9e774 |
completed | May 2, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:57 p.m.