Triple
T11338625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marty Bowen |
E268536
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Safe Haven |
E372564
|
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: Safe Haven | Statement: [Marty Bowen, notableWork, Safe Haven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safe Haven Context triple: [Marty Bowen, notableWork, Safe Haven]
-
A.
Safe Haven
chosen
Safe Haven is a romantic drama film based on a Nicholas Sparks novel, centered on a mysterious young woman who starts a new life in a small coastal town while hiding a dark secret.
-
B.
A Safe Place
A Safe Place is a 1971 experimental drama film written and directed by Henry Jaglom, known for its dreamlike, non-linear narrative and performances by Tuesday Weld, Orson Welles, and Jack Nicholson.
-
C.
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
-
D.
Haven
Haven is a supernatural mystery television series set in a small Maine town plagued by strange, unexplained phenomena.
-
E.
Safe Harbour
Safe Harbour is an Australian psychological thriller miniseries that follows a group of friends whose lives are upended when a chance encounter with a refugee boat resurfaces years later with devastating consequences.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea008b5081908e6c6c6fc29ef936 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5433d3e848190ad4f51c23d5a8bb2 |
completed | April 19, 2026, 9:03 p.m. |
Created at: April 8, 2026, 9:33 p.m.