Triple
T14398358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dirty Sexy Money |
E357007
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Seth Gabel |
E112683
|
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: Seth Gabel | Statement: [Dirty Sexy Money, starring, Seth Gabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seth Gabel Context triple: [Dirty Sexy Money, starring, Seth Gabel]
-
A.
Seth Gabel
chosen
Seth Gabel is an American actor known for his roles in television series such as "Fringe," "Salem," and "Nip/Tuck."
-
B.
Jason Ritter
Jason Ritter is an American actor known for his work in film and television, including roles in series like "Parenthood" and "Joan of Arcadia."
-
C.
Seth Holly
Seth Holly is a practical, hardworking boardinghouse owner in August Wilson’s play "Joe Turner’s Come and Gone," serving as a stabilizing presence for the itinerant characters who pass through his home.
-
D.
Joel Murray
Joel Murray is an American actor and comedian known for his character roles in film and television, as well as for his voice work in animated projects.
-
E.
Spencer Jordan
Spencer Jordan is a central character in the British crime drama series "Waking the Dead," known for his role on the cold case investigation team.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9083f9d081908fe5c99655c410b3 |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d8137348190b332e27f3d71d4f0 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:17 a.m.