Triple
T5642003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Faris |
E124287
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The House Bunny |
E305211
|
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 House Bunny | Statement: [Anna Faris, notableWork, The House Bunny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The House Bunny Context triple: [Anna Faris, notableWork, The House Bunny]
-
A.
The House Bunny
chosen
The House Bunny is a 2008 comedy film about a former Playboy bunny who becomes the unlikely house mother of a socially awkward sorority.
-
B.
Baby Mama
"Baby Mama" is a song featured on the album B7 by American singer and actress Brandy.
-
C.
Baby Mama
Baby Mama is a 2008 American comedy film starring Tina Fey and Amy Poehler about a single career woman who hires a quirky surrogate to carry her baby.
-
D.
Practical Jokers
Practical Jokers is an album by the band The Swingers, known for its blend of new wave and pop-rock sounds.
-
E.
Nurse Betty
Nurse Betty is a 2000 dark comedy film about a Kansas waitress who, after a traumatic event, becomes delusionally convinced she is living inside her favorite soap opera.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022a6a22881908d16f4df564ed2a2 |
completed | March 22, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d7c98008190b79528596eca4208 |
completed | March 22, 2026, 8:13 p.m. |
Created at: March 22, 2026, 3:41 p.m.