Triple
T10325620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tully |
E242753
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Tully (night nanny)
Tully (night nanny) is the enigmatic, free-spirited night nurse in the 2018 film "Tully," who helps an overwhelmed mother navigate the emotional and physical challenges of postpartum life.
|
E855458
|
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: Tully (night nanny) | Statement: [Tully, character, Tully (night nanny)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tully (night nanny) Context triple: [Tully, character, Tully (night nanny)]
-
A.
Plummy Tucker
Plummy Tucker is a film editor known for editing the documentary "Enron: The Smartest Guys in the Room."
-
B.
Nurse Matilda
Nurse Matilda is the magical, stern-yet-kind nanny from Christianna Brand’s children’s books that inspired the film character Nanny McPhee.
-
C.
Maidie
Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
-
D.
"Mother Tucker"
"Mother Tucker" is an episode of the animated television series Family Guy centered on the character Barbara Pewterschmidt and her family.
-
E.
Nellie Bellflower
Nellie Bellflower is an American actress and film producer best known for producing the acclaimed 2004 film "Finding Neverland."
- 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: Tully (night nanny) Triple: [Tully, character, Tully (night nanny)]
Generated description
Tully (night nanny) is the enigmatic, free-spirited night nurse in the 2018 film "Tully," who helps an overwhelmed mother navigate the emotional and physical challenges of postpartum life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tully (night nanny) Target entity description: Tully (night nanny) is the enigmatic, free-spirited night nurse in the 2018 film "Tully," who helps an overwhelmed mother navigate the emotional and physical challenges of postpartum life.
-
A.
Plummy Tucker
Plummy Tucker is a film editor known for editing the documentary "Enron: The Smartest Guys in the Room."
-
B.
Nurse Matilda
Nurse Matilda is the magical, stern-yet-kind nanny from Christianna Brand’s children’s books that inspired the film character Nanny McPhee.
-
C.
Maidie
Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
-
D.
"Mother Tucker"
"Mother Tucker" is an episode of the animated television series Family Guy centered on the character Barbara Pewterschmidt and her family.
-
E.
Nellie Bellflower
Nellie Bellflower is an American actress and film producer best known for producing the acclaimed 2004 film "Finding Neverland."
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7cd76348190b93562112300acfc |
completed | April 7, 2026, 10:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71da93b988190ad568b0677b5d344 |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d731887d2081908e6b4e33d400582f |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7329189708190bbd21bd40ec029b0 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:51 a.m.