Triple
T11049812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come to Daddy |
E261215
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Laura Tunstall
Laura Tunstall is a film producer best known for her work on the dark comedy horror film "Come to Daddy."
|
E1001776
|
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: Laura Tunstall | Statement: [Come to Daddy, producer, Laura Tunstall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Tunstall Context triple: [Come to Daddy, producer, Laura Tunstall]
-
A.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
B.
Philippa Braithwaite
Philippa Braithwaite is a British television producer known for her work on series such as "Doc Martin" and for being married to actor Martin Clunes.
-
C.
Clarissa Luard
Clarissa Luard was a British literary editor and arts administrator known for her work supporting contemporary writers and for her marriage to novelist Salman Rushdie.
-
D.
Louise Nicholl
Louise Nicholl is a notable individual recognized for bearing the surname Nicholl.
-
E.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
- 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: Laura Tunstall Triple: [Come to Daddy, producer, Laura Tunstall]
Generated description
Laura Tunstall is a film producer best known for her work on the dark comedy horror film "Come to Daddy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Tunstall Target entity description: Laura Tunstall is a film producer best known for her work on the dark comedy horror film "Come to Daddy."
-
A.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
B.
Philippa Braithwaite
Philippa Braithwaite is a British television producer known for her work on series such as "Doc Martin" and for being married to actor Martin Clunes.
-
C.
Clarissa Luard
Clarissa Luard was a British literary editor and arts administrator known for her work supporting contemporary writers and for her marriage to novelist Salman Rushdie.
-
D.
Louise Nicholl
Louise Nicholl is a notable individual recognized for bearing the surname Nicholl.
-
E.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684c471b88190a4c79d907152b492 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6863fada48190afe2ff7896a60094 |
completed | May 2, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f686bcac94819088782273effbb06a |
completed | May 2, 2026, 11:20 p.m. |
Created at: April 8, 2026, 9:26 p.m.