Triple
T14053510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harum Scarum (1965 film) |
E338152
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Sam Katzman |
E830806
|
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 Katzman | Statement: [Harum Scarum (1965 film), producer, Sam Katzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Katzman Context triple: [Harum Scarum (1965 film), producer, Sam Katzman]
-
A.
Sam Katzman
chosen
Sam Katzman was a prolific American film producer best known for his low-budget, commercially successful genre movies from the 1930s through the 1960s.
-
B.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
C.
Charles Katz
Charles Katz was the defendant whose challenge to FBI wiretapping led to the landmark U.S. Supreme Court decision in Katz v. United States, which redefined Fourth Amendment protections for privacy.
-
D.
Allan Katz
Allan Katz is a television writer and producer best known for his work on classic American sitcoms.
-
E.
Marty Katz
Marty Katz is a film producer known for his work on movies such as the World War II drama "The Great Raid."
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8bc54c8190a12f0fc056568538 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a4fffa7c81909bcc833b44ddf66f |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 9, 2026, 10:20 p.m.