Triple
T11023160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruzan |
E260543
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Robin Ruzan |
E48343
|
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: Robin Ruzan | Statement: [Ruzan, notableBearer, Robin Ruzan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robin Ruzan Context triple: [Ruzan, notableBearer, Robin Ruzan]
-
A.
Robin Ruzan
chosen
Robin Ruzan is an American writer, producer, and actress known for her work in comedy and television, including contributions to projects associated with "Saturday Night Live."
-
B.
Rhea Seehorn
Rhea Seehorn is an American actress best known for her critically acclaimed role as attorney Kim Wexler on the television series "Better Call Saul."
-
C.
Melissa Hudson
Melissa Hudson is known as the daughter of Stanley Hudson, a character from the American television series "The Office."
-
D.
Beth Riesgraf
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
-
E.
Lily Rabe
Lily Rabe is an American actress known for her versatile performances in film, television, and theater, particularly for her recurring roles in the anthology series "American Horror Story."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797be9f148190a3a967bad5947496 |
completed | April 9, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4419a91b08190a55c7f874a3df0fe |
completed | April 19, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.