Triple
T22753679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Tufeld |
E562776
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dick Tufeld |
—
|
NE NERFINISHED |
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: Dick Tufeld | Statement: [Dick Tufeld, name, Dick Tufeld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dick Tufeld Context triple: [Dick Tufeld, name, Dick Tufeld]
-
A.
Dick Tufeld
chosen
Dick Tufeld was an American voice actor best known as the iconic voice of the Robot in the classic television series "Lost in Space."
-
B.
Don Tait
Don Tait was an American screenwriter best known for his work on family-friendly Disney films in the 1960s and 1970s.
-
C.
Mike Buddie
Mike Buddie is a collegiate athletics administrator best known for serving as the athletic director at the United States Military Academy at West Point.
-
D.
John Rando
John Rando is a Tony Award–winning American theatre director known for his work on Broadway musicals and comedies.
-
E.
Danny Troob
Danny Troob is an American orchestrator and composer best known for his extensive work on Disney animated films and Broadway musicals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bb80ac8190b53a1e00704c4ff5 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.