Triple
T13537491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Wives |
E323298
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Deborah Spera |
E1085314
|
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 Spera | Statement: [Army Wives, executiveProducer, Deborah Spera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deborah Spera Context triple: [Army Wives, executiveProducer, Deborah Spera]
-
A.
Deborah Spera
chosen
Deborah Spera is a television producer and executive known for her work on series such as "Reaper" and other scripted dramas.
-
B.
Deborah Pines
Deborah Pines is an American physician and writer best known as the wife of journalist and author Tony Schwartz.
-
C.
Deborah Kaplan
Deborah Kaplan is an American screenwriter and film director best known for co-writing and co-directing teen comedies such as "Can't Hardly Wait."
-
D.
Deborah Korman
Deborah Korman is the wife of the late American comedic actor Harvey Korman, known for his work on The Carol Burnett Show and in Mel Brooks films.
-
E.
Deborah Oppenheimer
Deborah Oppenheimer is an American television producer best known for her work on popular sitcoms and for winning an Academy Award for the documentary "Into the Arms of Strangers: Stories of the Kindertransport."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6471ba348190a0cd1745daff6114 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 9, 2026, 9:45 p.m.