Triple
T10107262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomorrow (The West Wing) |
E216351
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Sam Seaborn |
E24365
|
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: Sam Seaborn | Statement: [Tomorrow (The West Wing), featuresCharacter, Sam Seaborn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Seaborn Context triple: [Tomorrow (The West Wing), featuresCharacter, Sam Seaborn]
-
A.
Sam Seaborn
chosen
Sam Seaborn is a central character on the political drama series "The West Wing," serving as an idealistic and eloquent Deputy White House Communications Director in the Bartlet administration.
-
B.
Theodore Winter
Theodore Winter is a high-ranking CIA officer and the main antagonist in the 2010 action thriller film "Salt."
-
C.
David Barron
David Barron is a British film producer best known for his extensive work on the Harry Potter film series.
-
D.
Langdon Page
Langdon Page is an editor known for working on content related to Russian opposition leader Alexei Navalny.
-
E.
George Hackathorne
George Hackathorne was an American silent film actor active in the 1910s and 1920s, known for his roles in early Hollywood productions.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd0ca7f7c8190ba7ed37940aa933d |
completed | April 2, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3005e007881909f40575d129f2c3d |
completed | April 6, 2026, 12:37 a.m. |
Created at: March 30, 2026, 9:03 p.m.