Triple
T18738117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joshua Malina |
E458217
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Will Bailey |
E842011
|
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: Will Bailey | Statement: [Joshua Malina, portrayed, Will Bailey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Will Bailey Context triple: [Joshua Malina, portrayed, Will Bailey]
-
A.
Will Bailey
chosen
Will Bailey is a fictional political aide and speechwriter on the television series "The West Wing," known for his work in the Bartlet administration.
-
B.
Ryan Bailey
Ryan Bailey is a fictional character from the television series "Sirens."
-
C.
Brandon McReynolds
Brandon McReynolds is an American stock car racing driver who has competed in various NASCAR national and regional series.
-
D.
Matthew Baer
Matthew Baer is a film producer best known for his work on major Hollywood dramas, including the World War II survival film "Unbroken."
-
E.
Sam Bain
Sam Bain is a British television writer and producer best known for co-creating the acclaimed sitcom "Peep Show" and other comedy series, often in collaboration with Jesse Armstrong.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053261c074819081acb03dd7f8f62a |
completed | May 14, 2026, 2:24 a.m. |
Created at: April 10, 2026, 11:51 a.m.