Triple
T8450457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvie’s Love |
E199785
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Dana Congdon |
E835319
|
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: Dana Congdon | Statement: [Sylvie’s Love, editedBy, Dana Congdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Congdon Context triple: [Sylvie’s Love, editedBy, Dana Congdon]
-
A.
Dana Congdon
chosen
Dana Congdon is a film editor best known for his work on movies such as the anthology comedy "Four Rooms."
-
B.
Jessica Congdon
Jessica Congdon is a filmmaker and editor best known for her work producing the documentary "Miss Representation," which examines the portrayal of women in the media.
-
C.
Deanna Dunagan
Deanna Dunagan is an American actress best known for her Tony Award–winning performance in the Broadway play "August: Osage County" and for her role in the horror film "The Visit."
-
D.
Jennifer Cossitt
Jennifer Cossitt is a Canadian politician who has served as the elected representative for the Leeds—Grenville electoral district.
-
E.
Debra Christofferson
Debra Christofferson is an American actress best known for her role as the bearded lady Lila in the HBO television series "Carnivàle."
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe44707b88190b3d8b30c45ef4496 |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28161b6ec8190ab91f7b00995e889 |
completed | April 5, 2026, 3:36 p.m. |
Created at: March 30, 2026, 6:09 p.m.