Triple
T6904426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Leisure |
E159571
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | The Nanny |
E181999
|
NE FINISHED |
How this triple was built (2 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: The Nanny | Statement: [David Leisure, hasActedIn, The Nanny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Nanny Context triple: [David Leisure, hasActedIn, The Nanny]
-
A.
The Nanny
chosen
The Nanny is a popular 1990s American sitcom starring Fran Drescher as a flashy Queens nanny working for a wealthy Manhattan family.
-
B.
The Nanny Diaries
The Nanny Diaries is a 2007 comedy-drama film, based on the bestselling novel, that follows a college student working as a nanny for a wealthy New York family and stars Scarlett Johansson and Laura Linney.
-
C.
Nanny
Nanny is the kind-hearted, loyal housekeeper who helps care for Pongo and Perdita’s puppies in Disney’s "One Hundred and One Dalmatians."
-
D.
Mr. Nanny
Mr. Nanny is a 1993 family comedy film starring Hulk Hogan as a tough ex-wrestler who becomes the bodyguard and caretaker for two mischievous children.
-
E.
Nanny and the Professor
Nanny and the Professor is an early-1970s American sitcom about a magical British nanny who brings order and whimsy to a widowed professor’s household and his three children.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d989c13081908a2e346cde9e3a50 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748f6640481908b74903a47e1eb18 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:25 p.m.