Triple
T6315196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fionn Whitehead |
E141597
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Emily
"Emily" is a 2022 British biographical drama film about the life of writer Emily Brontë, starring Fionn Whitehead alongside Emma Mackey.
|
E584934
|
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: Emily | Statement: [Fionn Whitehead, notableWork, Emily]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Context triple: [Fionn Whitehead, notableWork, Emily]
-
A.
Emily
Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
-
B.
Emily
Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
-
C.
Emma
"Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
-
D.
Emma
Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
-
E.
Jane
Jane was a British sealing and exploration vessel commanded by James Weddell during his early 19th-century Antarctic voyages.
- 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: Emily Triple: [Fionn Whitehead, notableWork, Emily]
Generated description
"Emily" is a 2022 British biographical drama film about the life of writer Emily Brontë, starring Fionn Whitehead alongside Emma Mackey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emily Target entity description: "Emily" is a 2022 British biographical drama film about the life of writer Emily Brontë, starring Fionn Whitehead alongside Emma Mackey.
-
A.
Emily
Emily Warren Roebling was a pioneering 19th-century American engineer best known for her crucial role in overseeing the completion of the Brooklyn Bridge.
-
B.
Emily
Emily is a given name commonly used in English-speaking countries, often associated with literary, historical, and contemporary cultural figures.
-
C.
Emma
"Emma" is a 2009 British television miniseries adaptation of Jane Austen's novel, starring Romola Garai in the title role.
-
D.
Emma
Emma is a common feminine given name of Germanic origin, widely used in English-speaking and many other countries.
-
E.
Jane
Jane is a powerful vampire in the Twilight series, known for her childlike appearance and her ability to inflict excruciating pain with her mind as a high-ranking enforcer of the Volturi.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064a197488190946c4637b3c829a5 |
completed | March 22, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e478987c819085df63dab784af2a |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5f86226888190a8af3629ae55feff |
completed | March 27, 2026, 3:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5f8dc9114819095d41e0d0d260ee9 |
completed | March 27, 2026, 3:26 a.m. |
Created at: March 22, 2026, 4:28 p.m.