Triple
T16579881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belonging |
E402801
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Matthew Rhys |
E111440
|
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: Matthew Rhys | Statement: [Belonging, hasCastMember, Matthew Rhys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matthew Rhys Context triple: [Belonging, hasCastMember, Matthew Rhys]
-
A.
Matthew Rhys
chosen
Matthew Rhys is a Welsh actor best known for his Emmy-winning role in the television series "The Americans" and for his work in both film and television dramas.
-
B.
Matthew Reeve
Matthew Reeve is a British-American filmmaker and activist, known for his documentary work and for continuing the legacy of his father, actor and disability advocate Christopher Reeve.
-
C.
Josh Charles
Josh Charles is an American actor best known for his roles in films like Dead Poets Society and the television series The Good Wife.
-
D.
Matt Bomer
Matt Bomer is an American actor known for his roles in the TV series "White Collar" and films such as "Magic Mike" and "The Normal Heart."
-
E.
Lewis Pullman
Lewis Pullman is an American actor known for roles in films such as "Top Gun: Maverick," "Bad Times at the El Royale," and "The Strangers: Prey at Night."
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35960834c819080eed0c9f32b881d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eee7e4881908a529717bc449078 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.