Triple
T22282747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drift Fence |
E550776
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Richard Cramer
Richard Cramer was an American character actor known for his frequent roles as tough or villainous figures in early 20th-century Westerns and crime films.
|
E1528627
|
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: Richard Cramer | Statement: [Drift Fence, hasCastMember, Richard Cramer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Cramer Context triple: [Drift Fence, hasCastMember, Richard Cramer]
-
A.
David Higgins
David Higgins is an Australian businessman and civil engineer known for leading major infrastructure and regeneration projects in the UK, including senior roles at Network Rail and the Olympic Delivery Authority.
-
B.
Allen Nourse
Allen Nourse is an actor known for his role in the film "Pushover."
-
C.
Hugh Kaul
Hugh Kaul was a prominent Birmingham, Alabama businessman and philanthropist known for his significant support of the arts and cultural institutions.
-
D.
Max Schaefer
Max Schaefer is an author best known for his work on the fantasy action role-playing game series Torchlight.
-
E.
Ben Karlin
Ben Karlin is an American television writer and producer best known for his work on The Daily Show and The Colbert Report.
- 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: Richard Cramer Triple: [Drift Fence, hasCastMember, Richard Cramer]
Generated description
Richard Cramer was an American character actor known for his frequent roles as tough or villainous figures in early 20th-century Westerns and crime films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Cramer Target entity description: Richard Cramer was an American character actor known for his frequent roles as tough or villainous figures in early 20th-century Westerns and crime films.
-
A.
David Higgins
David Higgins is an Australian businessman and civil engineer known for leading major infrastructure and regeneration projects in the UK, including senior roles at Network Rail and the Olympic Delivery Authority.
-
B.
Allen Nourse
Allen Nourse is an actor known for his role in the film "Pushover."
-
C.
Hugh Kaul
Hugh Kaul was a prominent Birmingham, Alabama businessman and philanthropist known for his significant support of the arts and cultural institutions.
-
D.
Max Schaefer
Max Schaefer is an author best known for his work on the fantasy action role-playing game series Torchlight.
-
E.
Ben Karlin
Ben Karlin is an American television writer and producer best known for his work on The Daily Show and The Colbert Report.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14eacd6cc8190812c6f672641050e |
completed | April 29, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0abcaa46788190970d08e2328d5503 |
completed | May 18, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_6a0abdba268881908b936c0abf539a39 |
completed | May 18, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0abf213878819085413d22a824fe58 |
completed | May 18, 2026, 7:26 a.m. |
Created at: April 16, 2026, 8:40 p.m.