Triple
T11009158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Gal Sal |
E260201
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Michael Kanin |
E365507
|
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: Michael Kanin | Statement: [My Gal Sal, screenwriter, Michael Kanin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kanin Context triple: [My Gal Sal, screenwriter, Michael Kanin]
-
A.
Michael Kanin
chosen
Michael Kanin was an American screenwriter best known for his Academy Award–winning work in classic Hollywood films, often in collaboration with his wife, Fay Kanin.
-
B.
Joseph Kane
Joseph Kane was an American film director best known for his prolific work on B-Western movies during the mid-20th century.
-
C.
Seymour Nebenzal
Seymour Nebenzal was a prominent German-American film producer known for his work in Weimar cinema and later in Hollywood, including influential films such as Fritz Lang’s "M."
-
D.
Benjamin Kanes
Benjamin Kanes is an American actor and filmmaker known for supporting roles in film and television, including appearances in projects like "The Visit."
-
E.
Paul Jesson
Paul Jesson is a British actor known for his work in film, television, and theatre, including a role in Mike Leigh’s biographical drama "Mr. Turner."
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978810208190b8e2966ae67b6314 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e37498b9fc8190860acede4f49ea4a |
completed | April 18, 2026, 12:10 p.m. |
Created at: April 8, 2026, 9:25 p.m.