Triple
T8669649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Town |
E205762
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jon Hamm |
E268669
|
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: Jon Hamm | Statement: [The Town, starring, Jon Hamm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Hamm Context triple: [The Town, starring, Jon Hamm]
-
A.
Jon Hamm
chosen
Jon Hamm is an American actor best known for his acclaimed portrayal of Don Draper on the television drama series "Mad Men."
-
B.
Peter Krause
Peter Krause is an American actor best known for his leading roles in television dramas such as Six Feet Under, Sports Night, and Parenthood.
-
C.
Noah Wyle
Noah Wyle is an American actor best known for his role as Dr. John Carter on the medical drama "ER" and for leading roles in various science fiction and adventure television series and films.
-
D.
James Spader
James Spader is an American actor known for his distinctive voice and intense, often eccentric performances in film and television, including acclaimed roles in series like "Boston Legal" and "The Blacklist."
-
E.
John Ehle
John Ehle was an American novelist and screenwriter best known for his historical fiction set in the Appalachian region of North Carolina.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4917cb9881909a73b74e54250613 |
completed | March 31, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd2b996481908da33fbd95494376 |
completed | April 2, 2026, 8:10 p.m. |
Created at: March 30, 2026, 6:31 p.m.