Triple
T10470573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dante's Peak |
E246911
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Leslie Bohem |
E385709
|
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: Leslie Bohem | Statement: [Dante's Peak, writer, Leslie Bohem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Bohem Context triple: [Dante's Peak, writer, Leslie Bohem]
-
A.
Leslie Bohem
chosen
Leslie Bohem is an American screenwriter and producer known for his work on science fiction and thriller films and television projects.
-
B.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
C.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
-
D.
Lisa Loring
Lisa Loring was an American actress best known for originating the role of Wednesday Addams as a child in the 1960s television adaptation of The Addams Family.
-
E.
Amy Bosley
Amy Bosley is known as the daughter of American actor Tom Bosley, famed for his role as Howard Cunningham on the television series "Happy Days."
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc68b49481909715c36a4c0e7c4f |
completed | April 10, 2026, 11:18 a.m. |
Created at: April 6, 2026, 12:20 p.m.