Triple
T8874076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sidney Luft |
E211224
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Camille Keaton |
E119262
|
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: Camille Keaton | Statement: [Sidney Luft, spouse, Camille Keaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camille Keaton Context triple: [Sidney Luft, spouse, Camille Keaton]
-
A.
Camille Keaton
chosen
Camille Keaton is an American actress best known for her lead role in the controversial 1978 horror film "I Spit on Your Grave."
-
B.
Paulette Goddard
Paulette Goddard was an American film actress and former Ziegfeld girl best known for her roles in several 1930s and 1940s Hollywood films, including multiple collaborations with Charlie Chaplin.
-
C.
Marilu Henner
Marilu Henner is an American actress and author best known for her role as Elaine Nardo on the TV sitcom "Taxi" and for her appearances in numerous film and television projects.
-
D.
Debra Lynn Messing
Debra Lynn Messing is an American actress best known for her Emmy-winning role as Grace Adler on the television sitcom "Will & Grace."
-
E.
Retta
Retta is an American actress and comedian best known for her roles on the television series "Parks and Recreation" and "Good Girls."
- 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_69ca838e78748190934d82db3104f855 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc614451d081908804430a72d00edf |
completed | April 1, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0f9714c8190909587eecbb10e1a |
completed | April 3, 2026, 11:14 a.m. |
Created at: March 30, 2026, 6:52 p.m.