Triple
T20141103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Things Heard & Seen |
E491165
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Rhea Seehorn |
—
|
NE NERFINISHED |
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: Rhea Seehorn | Statement: [Things Heard & Seen, starring, Rhea Seehorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhea Seehorn Context triple: [Things Heard & Seen, starring, Rhea Seehorn]
-
A.
Rhea Seehorn
chosen
Rhea Seehorn is an American actress best known for her critically acclaimed role as attorney Kim Wexler on the television series "Better Call Saul."
-
B.
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."
-
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.
Emily Alyn Lind
Emily Alyn Lind is an American actress known for her roles in film and television, including playing the young Amanda Clarke on the TV series "Revenge."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6679b179c8190a9511df8ed82098a |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.