Triple
T3514867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woman of the Year |
E74281
|
entity |
| Predicate | storyBy |
P1955
|
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: [Woman of the Year, storyBy, Michael Kanin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kanin Context triple: [Woman of the Year, storyBy, 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.
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."
-
D.
Murray Wier
Murray Wier was an American professional basketball player best known for his collegiate stardom at the University of Iowa in the 1940s and subsequent career in the early NBA.
-
E.
Kurt Kasznar
Kurt Kasznar was an Austrian-American character actor known for his prolific work in mid-20th-century film, television, and theater, often portraying urbane or authoritative supporting roles.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc2efa4c8190ac1ca221f3f0eba4 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bc4e9988190921d193e84e53bf1 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:19 p.m.