Triple
T15197549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Suspicion |
E363175
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Karen Sillas |
E363175
|
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: Karen Sillas | Statement: [Under Suspicion, castMember, Karen Sillas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen Sillas Context triple: [Under Suspicion, castMember, Karen Sillas]
-
A.
Karen Sillas
chosen
Karen Sillas is an American actress known for her work in independent films and television dramas, including the series "Under Suspicion."
-
B.
Laura Harris
Laura Harris is a Canadian actress known for her roles in films like "The Faculty" and TV series such as "24" and "Dead Like Me."
-
C.
Terri Moeller
Terri Moeller is an American drummer and singer best known for her long-time role in the alternative rock band The Walkabouts.
-
D.
Lynn Noe
Lynn Noe was the second wife of actor Michael Landon and the mother of several of his children, known primarily for her connection to the television star.
-
E.
Laura Deming
Laura Deming is a venture capitalist and longevity researcher best known for founding The Longevity Fund, which invests in companies developing therapies to extend healthy human lifespan.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0067fcc788190abdc083d4eadeb36 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ec2f35c8190a96af080cd7b6d0e |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 3:10 a.m.