Triple
T3111470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mary Tyler Moore Show |
E64960
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ted Knight |
E226047
|
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: Ted Knight | Statement: [The Mary Tyler Moore Show, starring, Ted Knight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Knight Context triple: [The Mary Tyler Moore Show, starring, Ted Knight]
-
A.
Ted Knight
chosen
Ted Knight was an American actor and comedian best known for his Emmy-winning role as the pompous newscaster Ted Baxter on the television sitcom "The Mary Tyler Moore Show."
-
B.
Carroll O’Connor
Carroll O’Connor was an American actor best known for his iconic portrayal of Archie Bunker on the groundbreaking television sitcom "All in the Family."
-
C.
Bob Crane
Bob Crane was an American actor and disc jockey best known for starring as Colonel Hogan in the 1960s television sitcom "Hogan's Heroes."
-
D.
Peter D. Graves
Peter D. Graves is a film producer best known for his work on major Hollywood action and science fiction movies, including Terminator Salvation.
-
E.
Frankie Faison
Frankie Faison is an American actor known for his character roles in film and television, including appearances in projects like "The Wire," the "Hannibal Lecter" film series, and numerous comedies and dramas.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada43954f0819096a96331bf3c53a8 |
completed | March 8, 2026, 4:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e817b0d881909365a6bf5eb5104b |
completed | March 12, 2026, 4:21 p.m. |
Created at: March 8, 2026, 3:04 p.m.