Triple
T19547436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killing (1956 film) |
E489110
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Betty Steinberg |
—
|
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: Betty Steinberg | Statement: [The Killing (1956 film), editor, Betty Steinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Steinberg Context triple: [The Killing (1956 film), editor, Betty Steinberg]
-
A.
Betty Steinberg
chosen
Betty Steinberg is a film editor best known for her work on the crime drama film "The Killing."
-
B.
Pam Katz
Pam Katz is an American screenwriter known for co-writing historical and biographical films, including the 2012 drama "Hannah Arendt."
-
C.
Betty Cohen
Betty Cohen is an American television executive best known as the founding president of Cartoon Network and a pioneering figure in cable children’s programming.
-
D.
Edie Landau
Edie Landau was an American film and television producer known for her work on acclaimed projects such as "Long Day's Journey Into Night" and for co-founding the production company Ely Landau, Inc.
-
E.
Rhoda Makoff
Rhoda Makoff is an educator best known for founding Crossroads School, an independent progressive school in Santa Monica, California.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d2d8a6081908e9bb3a6f5d85896 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.