Triple
T23083203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph D. Reitman |
E575532
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Shannon Elizabeth |
—
|
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: Shannon Elizabeth | Statement: [Joseph D. Reitman, spouse, Shannon Elizabeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shannon Elizabeth Context triple: [Joseph D. Reitman, spouse, Shannon Elizabeth]
-
A.
Shannon Elizabeth
chosen
Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
-
B.
Shannon Ross
Shannon Ross is a quirky, upbeat manager at Handy Car Rental and a key supporting character in the Canadian sitcom "Kim's Convenience."
-
C.
Shannon Ross
Shannon Ross is a child of American actor Barry Corbin, known for his roles in film and television.
-
D.
Laura Innes
Laura Innes is an American actress and television director best known for her long-running role as Dr. Kerry Weaver on the medical drama series "ER."
-
E.
Natasha Henstridge
Natasha Henstridge is a Canadian actress and former model best known for her breakout role as the alien-human hybrid Sil in the science fiction horror film "Species" and its sequels.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da304548190ab7a421c1ded0eb6 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:56 p.m.