Triple
T3893887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Game |
E88123
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | Deborah Kara Unger |
E364598
|
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: Deborah Kara Unger | Statement: [The Game, featuresActor, Deborah Kara Unger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deborah Kara Unger Context triple: [The Game, featuresActor, Deborah Kara Unger]
-
A.
Deborah Kara Unger
chosen
Deborah Kara Unger is a Canadian actress known for her intense, often edgy performances in films such as "Crash," "The Game," and "Silent Hill."
-
B.
Deborah Pines
Deborah Pines is an American physician and writer best known as the wife of journalist and author Tony Schwartz.
-
C.
Deborah Waxman
Deborah Waxman is an American rabbi and scholar who serves as a leading contemporary voice and institutional leader within Reconstructionist Judaism.
-
D.
Rebecca Feldman
Rebecca Feldman is a theater artist best known for creating the original improvisational concept that evolved into the Tony Award–winning musical "The 25th Annual Putnam County Spelling Bee."
-
E.
Ann Rosener
Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecd06cbc8190938d9f91388ad290 |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c69987881908dc2b6286fec73c2 |
completed | March 21, 2026, 8:52 a.m. |
Created at: March 9, 2026, 3:21 p.m.