Triple
T8295866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara Knowles |
E194215
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Maggie Siff |
E75486
|
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: Maggie Siff | Statement: [Tara Knowles, portrayedBy, Maggie Siff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggie Siff Context triple: [Tara Knowles, portrayedBy, Maggie Siff]
-
A.
Maggie Siff
chosen
Maggie Siff is an American actress best known for her television roles in series such as Mad Men, Sons of Anarchy, and Billions.
-
B.
Katheryn Winnick
Katheryn Winnick is a Canadian actress best known for her role as the fierce shield-maiden Lagertha in the television series "Vikings" and for appearances in various film and TV productions.
-
C.
Amanda Lane
Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
-
D.
Katherine Waterston
Katherine Waterston is an American actress known for roles in films such as "Inherent Vice," the "Fantastic Beasts" series, and "Alien: Covenant."
-
E.
Carrie Coon
Carrie Coon is an American actress known for her acclaimed performances in television series like "The Leftovers" and "Fargo" as well as films such as "Gone Girl" and "The Nest."
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7df73d4c81909ad9cf0786eb5a20 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc6dc4008819084eff0960917494c |
completed | April 2, 2026, 1:31 a.m. |
Created at: March 30, 2026, 5:53 p.m.