Triple
T15309141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sosie Bacon |
E365981
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Kyra Sedgwick |
E141321
|
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: Kyra Sedgwick | Statement: [Sosie Bacon, parent, Kyra Sedgwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyra Sedgwick Context triple: [Sosie Bacon, parent, Kyra Sedgwick]
-
A.
Kyra Sedgwick
chosen
Kyra Sedgwick is an American actress and producer best known for her award-winning lead role as Deputy Chief Brenda Leigh Johnson on the crime drama series "The Closer."
-
B.
Kate Walsh
Kate Walsh is an American actress best known for her role as Dr. Addison Montgomery on the television series Grey's Anatomy and its spin-off Private Practice.
-
C.
Marg Helgenberger
Marg Helgenberger is an American actress best known for her role as forensic investigator Catherine Willows on the long-running television series CSI: Crime Scene Investigation.
-
D.
Jorja Fox
Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
-
E.
Elizabeth McGovern
Elizabeth McGovern is an American actress and musician best known for her roles in films like "Ragtime" and the television series "Downton Abbey."
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd176708190b0f6ba17aed92f8e |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff364bafd0819086b8aab1c216c6fa |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:16 a.m.