Triple
T14173119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight Riders |
E351260
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Christine Forrest |
E780431
|
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: Christine Forrest | Statement: [Knight Riders, hasCastMember, Christine Forrest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christine Forrest Context triple: [Knight Riders, hasCastMember, Christine Forrest]
-
A.
Christine Forrest
chosen
Christine Forrest is an American actress and producer best known for her long-time collaboration and marriage with horror filmmaker George A. Romero.
-
B.
Erinn Bartlett
Erinn Bartlett is an American actress and former beauty pageant titleholder known for supporting roles in film and television.
-
C.
Lori Marshall
Lori Marshall is an American television writer and author, known for her work on sitcoms and for collaborating on books about and with her father, filmmaker Garry Marshall.
-
D.
Linda McDonough
Linda McDonough is a film producer best known for her work on the science fiction movie adaptation of "Ender's Game."
-
E.
Ann Kirkpatrick
Ann Kirkpatrick is an American politician and attorney best known for serving multiple terms as a U.S. Representative from Arizona.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d77e8dc8190b90f3505960e549e |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:01 a.m.