Triple
T11105659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blake Jenner |
E262620
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Melissa Benoist |
E820488
|
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: Melissa Benoist | Statement: [Blake Jenner, spouse, Melissa Benoist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melissa Benoist Context triple: [Blake Jenner, spouse, Melissa Benoist]
-
A.
Melissa Benoist
chosen
Melissa Benoist is an American actress and singer best known for her lead role on the TV series "Supergirl" and her breakout performance in the film "Whiplash."
-
B.
Lauren Cohan
Lauren Cohan is an American-British actress best known for playing Maggie Greene on the television series "The Walking Dead."
-
C.
Caity Lotz
Caity Lotz is an American actress, dancer, and director best known for her role as Sara Lance/White Canary in the Arrowverse television series, particularly DC's Legends of Tomorrow.
-
D.
Dorian Missick
Dorian Missick is an American actor known for his work in film and television, including roles in series like "Six Degrees" and "Lucky Number Slevin."
-
E.
Jessica Capshaw
Jessica Capshaw is an American actress best known for her role as Dr. Arizona Robbins on the television series "Grey's Anatomy."
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a64319481909926cebfdd47184d |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d7016908190bb7aadadacb5b50f |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.