Triple
T13537489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Wives |
E323298
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Katherine Fugate |
E1083444
|
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: Katherine Fugate | Statement: [Army Wives, executiveProducer, Katherine Fugate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katherine Fugate Context triple: [Army Wives, executiveProducer, Katherine Fugate]
-
A.
Katherine Fugate
chosen
Katherine Fugate is an American screenwriter and television producer best known for creating the Lifetime drama series "Army Wives."
-
B.
Katherine Murphy
Katherine Murphy is a central character in the romantic comedy film "Just Go with It," where she becomes entangled in a web of lies and pretend relationships that evolve into genuine romance.
-
C.
Katherine Flynn
Katherine Flynn is an American actress and the daughter of English actress Jane Seymour.
-
D.
Katherine Russell
Katherine Russell is an American woman best known as the widow of Boston Marathon bomber Tamerlan Tsarnaev, who came under public scrutiny following the 2013 attack.
-
E.
Rachel Keller
Rachel Keller is an American actress known for her roles in television series such as Fargo, Legion, and Tokyo Vice.
- 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_69fd3cfae6bc8190ac6851a3fa2dfb12 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 9:45 p.m.