Triple
T3757963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Darkest Hour |
E82092
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object |
Leslie Bohem
Leslie Bohem is an American screenwriter and producer known for his work on science fiction and thriller films and television projects.
|
E385709
|
NE FINISHED |
How this triple was built (4 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: [The Darkest Hour, storyBy, Leslie Bohem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leslie Bohem Context triple: [The Darkest Hour, storyBy, Leslie Bohem]
-
A.
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."
-
B.
Christine Boyer
Christine Boyer was the first wife of Lucien Bonaparte and a member by marriage of the influential Bonaparte family during the Napoleonic era.
-
C.
Cynthia Ludwig
Cynthia Ludwig is a film editor known for her work on the 2009 horror film "My Bloody Valentine 3D."
-
D.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
-
E.
Dorothy Malone
Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Leslie Bohem Triple: [The Darkest Hour, storyBy, Leslie Bohem]
Generated description
Leslie Bohem is an American screenwriter and producer known for his work on science fiction and thriller films and television projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leslie Bohem Target entity description: Leslie Bohem is an American screenwriter and producer known for his work on science fiction and thriller films and television projects.
-
A.
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."
-
B.
Christine Boyer
Christine Boyer was the first wife of Lucien Bonaparte and a member by marriage of the influential Bonaparte family during the Napoleonic era.
-
C.
Cynthia Ludwig
Cynthia Ludwig is a film editor known for her work on the 2009 horror film "My Bloody Valentine 3D."
-
D.
Elaine Baylor
Elaine Baylor is known as the wife of legendary Basketball Hall of Famer Elgin Baylor.
-
E.
Dorothy Malone
Dorothy Malone was an American film and television actress best known for her Oscar-winning role in "Written on the Wind" and her later work on the TV series "Peyton Place."
- F. None of above. chosen
Provenance (5 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbc04d348190b0e4a90d18bdd160 |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e50f77fc8190b7774a7359118c9c |
completed | March 14, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69b4e5fe22f0819088effd8a0eae72e6 |
completed | March 14, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e671e02c819094cae2a3a2abb1b4 |
completed | March 14, 2026, 4:39 a.m. |
Created at: March 8, 2026, 3:35 p.m.