Triple
T8947032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cobie Smulders |
E213245
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cobie Smulders |
E213245
|
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: Cobie Smulders | Statement: [Cobie Smulders, name, Cobie Smulders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobie Smulders Context triple: [Cobie Smulders, name, Cobie Smulders]
-
A.
Cobie Smulders
chosen
Cobie Smulders is a Canadian actress best known for her role as Robin Scherbatsky on the sitcom "How I Met Your Mother" and for portraying Maria Hill in the Marvel Cinematic Universe.
-
B.
Erika Christensen
Erika Christensen is an American actress known for her roles in films like "Traffic" and "Flightplan" and the television series "Parenthood."
-
C.
Kristin Davis
Kristin Davis is an American actress best known for her role as Charlotte York on the television series "Sex and the City" and its related films.
-
D.
Judy Greer
Judy Greer is an American actress known for her versatile supporting roles in film and television, including appearances in major franchises like the Marvel Cinematic Universe.
-
E.
Julianna Margulies
Julianna Margulies is an American actress best known for her acclaimed television roles on series such as "ER" and "The Good Wife."
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66deb8ec819087a9c5eddd24c08a |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc2022e30819089ba08f494a3a66f |
completed | April 3, 2026, 1:34 p.m. |
Created at: March 30, 2026, 6:59 p.m.