Triple
T7593862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reap the Wild Wind |
E179805
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lynne Overman |
E357410
|
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: Lynne Overman | Statement: [Reap the Wild Wind, starring, Lynne Overman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynne Overman Context triple: [Reap the Wild Wind, starring, Lynne Overman]
-
A.
Lynne Overman
chosen
Lynne Overman was an American character actor of the 1930s and 1940s, known for his supporting roles in Hollywood films and his distinctive, wisecracking screen persona.
-
B.
Lynne Burgess
Lynne Burgess was the wife of English novelist and composer Anthony Burgess, known primarily in relation to his life and work.
-
C.
Lynne Haldeman
Lynne Haldeman is a member of the Musk family and the sister of model and dietitian Maye Musk, making her an aunt of entrepreneur Elon Musk.
-
D.
Michelle Mylett
Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
-
E.
Lynn Varley
Lynn Varley is an American comic book colorist best known for her influential, atmospheric coloring work on Frank Miller’s graphic novels, including "The Dark Knight Returns" and "300."
- 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_69c69f3487ec8190bf7acdf2dd91e6d6 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9bab3a08190a2c36b2c72a1de25 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be17b3ec81909fc52c5570d39fb7 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 3:53 p.m.