Triple
T17333759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephanie Forrester |
E420881
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Susan Flannery |
E82862
|
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: Susan Flannery | Statement: [Stephanie Forrester, portrayedBy, Susan Flannery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Flannery Context triple: [Stephanie Forrester, portrayedBy, Susan Flannery]
-
A.
Susan Flannery
chosen
Susan Flannery is an American actress best known for her long-running roles on the soap operas "Days of Our Lives" and "The Bold and the Beautiful," for which she received critical acclaim and multiple major awards.
-
B.
Susan Devlin
Susan Devlin is the wife of Canadian actor and producer Bruce Greenwood.
-
C.
Susan O’Neill
Susan O’Neill was the wife of American film and stage actor Otto Kruger.
-
D.
Lesley Egan
Lesley Egan was a British-born American mystery writer best known for her crime and detective novels, often published under multiple pseudonyms.
-
E.
Anne Mullen
Anne Mullen is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Mullen.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a106df48190a50f96febc13cde7 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5205088190aa724873c6296b1e |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.