Triple
T6103536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Kendrick |
E136061
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Mr. Right |
E365487
|
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: Mr. Right | Statement: [Anna Kendrick, notableWork, Mr. Right]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Right Context triple: [Anna Kendrick, notableWork, Mr. Right]
-
A.
Mr. Right
chosen
Mr. Right is a 2015 action-romantic comedy film in which Sam Rockwell plays a eccentric hitman who falls in love while being pursued by his former employers.
-
B.
Mr. Wonderful
Mr. Wonderful is a 1993 romantic comedy film about a New York electrician who schemes to find a new husband for his ex-wife so he can afford his dream business.
-
C.
The Marrying Man
The Marrying Man is a 1991 romantic comedy film starring Alec Baldwin and Kim Basinger, centered on a playboy whose repeated marriages to the same woman lead to a series of comedic misadventures.
-
D.
Nappily Ever After
Nappily Ever After is a romantic comedy-drama film centered on a perfectionist woman’s journey of self-discovery and acceptance, particularly through her relationship with her hair and identity.
-
E.
Mr. Success
Mr. Success is a film featuring actress Samantha Lewes, recognized as one of her notable screen roles.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c12553f1d4819096de40514ef4d2cb |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.