Triple
T5043339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shotgun |
E113598
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Lesley Selander
Lesley Selander was a prolific American film director best known for his work on mid-20th-century Westerns and action pictures.
|
E523877
|
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: Lesley Selander | Statement: [Shotgun, director, Lesley Selander]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lesley Selander Context triple: [Shotgun, director, Lesley Selander]
-
A.
Barbara Enberg
Barbara Enberg is known as the wife of the late American sportscaster Dick Enberg.
-
B.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
-
C.
Barbara Blomberg
Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
-
D.
Carlene Olson
Carlene Olson is an American actress and former model best known for her marriage to actor Michael Biehn.
-
E.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
- 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: Lesley Selander Triple: [Shotgun, director, Lesley Selander]
Generated description
Lesley Selander was a prolific American film director best known for his work on mid-20th-century Westerns and action pictures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lesley Selander Target entity description: Lesley Selander was a prolific American film director best known for his work on mid-20th-century Westerns and action pictures.
-
A.
Barbara Enberg
Barbara Enberg is known as the wife of the late American sportscaster Dick Enberg.
-
B.
Maureen Swanson
Maureen Swanson was a British actress active in the 1950s, known for her roles in comedy and drama films before later becoming the Countess of Dudley.
-
C.
Barbara Blomberg
Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
-
D.
Carlene Olson
Carlene Olson is an American actress and former model best known for her marriage to actor Michael Biehn.
-
E.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
- 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_69bd44391fc48190a311ce9c826c209b |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73fc04f08190aba851fa0192d0fb |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c33898081908cd91ee65a078010 |
completed | March 22, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_69bf6cf77e3c81908a7c0e8337eddc96 |
completed | March 22, 2026, 4:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf6dcb6a7c81909a84e2af979013f3 |
completed | March 22, 2026, 4:19 a.m. |
Created at: March 20, 2026, 1:37 p.m.