Triple
T4001908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Half Baked |
E89432
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Don Zimmerman |
E109534
|
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: Don Zimmerman | Statement: [Half Baked, editor, Don Zimmerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Zimmerman Context triple: [Half Baked, editor, Don Zimmerman]
-
A.
Don Zimmerman
chosen
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
B.
David Zuckerman
David Zuckerman is an American television producer and writer best known for his work on animated comedy series, including helping develop and produce the hit show Family Guy.
-
C.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
D.
Gene Zabel
Gene Zabel is a notable individual associated with the city of Wahoo in Nebraska, United States.
-
E.
David Zimmerman
David Zimmerman is an American record producer best known for his work on Bob Dylan’s acclaimed album "Blood on the Tracks."
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa4290a48190b9c8cffa012c4df1 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6508f4afc819085389657b7bb4efb |
completed | March 15, 2026, 6:24 a.m. |
Created at: March 9, 2026, 3:34 p.m.