Triple
T15964479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Short Round |
E387148
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Gloria Katz |
—
|
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: Gloria Katz | Statement: [Short Round, createdBy, Gloria Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Katz Context triple: [Short Round, createdBy, Gloria Katz]
-
A.
Gloria Katz
chosen
Gloria Katz was an American screenwriter and producer best known for her collaborations with George Lucas, including work on films like "American Graffiti" and "Star Wars."
-
B.
Gail Katz
Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
-
C.
Yolanda Katz
Yolanda Katz is an individual honored as a namesake of the Yolanda and David Katz Faculty of the Arts, indicating her significant contributions or patronage to the arts and higher education.
-
D.
Janet Margolin
Janet Margolin was an American film and television actress best known for her roles in movies such as "David and Lisa" and Woody Allen's "Annie Hall."
-
E.
Helen Katz
Helen Katz is best known as the wife of American film and television producer Mace Neufeld.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572475948190af0e3b12de0f6cea |
completed | April 16, 2026, 9:39 p.m. |
Created at: April 10, 2026, 4:54 a.m.