Triple
T21848527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Momma's House 2 |
E539439
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Emily Procter |
—
|
NE NERFINISHED |
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: Emily Procter | Statement: [Big Momma's House 2, stars, Emily Procter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Procter Context triple: [Big Momma's House 2, stars, Emily Procter]
-
A.
Emily Procter
chosen
Emily Procter is an American actress best known for her role as ballistics expert Calleigh Duquesne on the television series CSI: Miami.
-
B.
Emily Firth
Emily Firth is the daughter of Canadian-American actress and novelist Meg Tilly.
-
C.
Tessa Piggott
Tessa Piggott is the central protagonist of the British television drama series "Love Hurts," around whose personal and professional life the story revolves.
-
D.
Emily Barclay
Emily Barclay is a New Zealand-born actress known for her acclaimed performances in independent films and television dramas.
-
E.
Emma Cunniffe
Emma Cunniffe is a British actress known for her work in television dramas, theatre, and film.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd56f4e081909a906b64c1019e6a |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.