Triple
T18637635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dynasty |
E455594
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Emma Samms |
—
|
NE NERFINISHED |
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: Emma Samms | Statement: [Dynasty, portrayedBy, Emma Samms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Samms Context triple: [Dynasty, portrayedBy, Emma Samms]
-
A.
Emma Samms
chosen
Emma Samms is a British actress best known for her roles on popular television soap operas such as "Dynasty" and "General Hospital."
-
B.
Samantha Bryant
Samantha Bryant is an American publicist and former production assistant best known as the wife of actor Colin Hanks.
-
C.
Samantha Borgens
Samantha Borgens is a central character in the romantic drama film "Stuck in Love," portrayed as a sharp, emotionally guarded young writer navigating complicated family and romantic relationships.
-
D.
Samantha Wheeler
Samantha Wheeler is a formidable and ambitious corporate lawyer introduced in later seasons of the TV series "Suits," known for her sharp legal skills and fierce loyalty.
-
E.
Samantha Thompson
Samantha Thompson is known as the daughter of American politician and former Illinois governor James R. Thompson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc9fa6c81909e1b988bdfb5ebcc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.