Triple
T6239444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristin (TV series) |
E139561
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | John Markus |
E582349
|
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: John Markus | Statement: [Kristin (TV series), executiveProducer, John Markus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Markus Context triple: [Kristin (TV series), executiveProducer, John Markus]
-
A.
John Markus
chosen
John Markus is an American television writer and producer best known for his work on sitcoms such as The Cosby Show and for creating the series Kristin.
-
B.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
C.
Markus
Markus is the given first name of the renowned abstract expressionist painter Mark Rothko.
-
D.
Markus Wolf
Markus Wolf was a prominent East German spymaster who led the foreign intelligence service of the Stasi and became one of the Cold War’s most influential intelligence chiefs.
-
E.
Jack Tornek
Jack Tornek was a character actor known for small roles in early 20th-century American films, including the 1950s horror movie "Hellgate."
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063048df081909a13d16b6f6bf65d |
completed | March 22, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e3e5bd988190ad9b0af668f5b05c |
completed | March 27, 2026, 1:56 a.m. |
Created at: March 22, 2026, 4:23 p.m.