Triple
T8639875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gone Girl |
E204618
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kim Dickens |
E641462
|
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: Kim Dickens | Statement: [Gone Girl, starring, Kim Dickens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Dickens Context triple: [Gone Girl, starring, Kim Dickens]
-
A.
Kim Dickens
chosen
Kim Dickens is an American actress known for her roles in television series such as Fear the Walking Dead, Deadwood, and Treme, as well as films like Gone Girl.
-
B.
Mare Winningham
Mare Winningham is an American actress and singer-songwriter known for her acclaimed work in film, television, and theater, including multiple Emmy-winning performances.
-
C.
Amy Ruck
Amy Ruck was the wife of botanist Francis Darwin, son of Charles Darwin, and a member of the extended Darwin family circle in late 19th-century England.
-
D.
Jessica Reedy
Jessica Reedy is an American gospel singer and songwriter known for her soulful vocals and for gaining national attention as a finalist on BET’s “Sunday Best.”
-
E.
Melissa Cobb
Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47650a14819094855aa8d062ebbc |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf88b20fec819086a1f1f3554c90e4 |
completed | April 3, 2026, 9:30 a.m. |
Created at: March 30, 2026, 6:28 p.m.