Triple
T11221522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Keene |
E265578
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Linda Keene |
E265578
|
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: Linda Keene | Statement: [Linda Keene, name, Linda Keene]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Keene Context triple: [Linda Keene, name, Linda Keene]
-
A.
Linda Keene
chosen
Linda Keene is the wealthy and sophisticated socialite love interest of Fred Astaire’s character in the 1937 musical film "Shall We Dance."
-
B.
Donna Meagle
Donna Meagle is a confident, luxury-loving office administrator in the comedy series "Parks and Recreation," known for her sharp wit, "treat yo' self" mantra, and no-nonsense attitude.
-
C.
Linda Wallem
Linda Wallem is an American television writer, producer, and actress best known for co-creating the acclaimed medical dramedy series "Nurse Jackie."
-
D.
Nancy McEldowney
Nancy McEldowney is an American diplomat and national security official who has held senior foreign policy roles in the U.S. government, including service as a top White House advisor.
-
E.
Donna Molloy
Donna Molloy is a film and television producer known for her work on the project "Care."
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ec8fb08190b27144ab65f85957 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6554d0b0081909cc031ff06b796c0 |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:30 p.m.