Triple
T16056546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Beyond |
E389494
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Ted Sorel
Ted Sorel was an American character actor best known for his roles in horror and science fiction films and television series.
|
E1191984
|
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: Ted Sorel | Statement: [From Beyond, hasCastMember, Ted Sorel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Sorel Context triple: [From Beyond, hasCastMember, Ted Sorel]
-
A.
Ari Berman
Ari Berman is an American Orthodox rabbi and academic leader who serves as the president of Yeshiva University.
-
B.
Michael Schroeder
Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
-
C.
Taki Theodoracopulos
Taki Theodoracopulos is a Greek-born journalist and socialite known for his long-running, often controversial column in conservative publications and his commentary on high society and politics.
-
D.
Owen Paul
Owen Paul is a Scottish singer and record producer best known for his 1986 hit single "My Favourite Waste of Time."
-
E.
Kevin Demoff
Kevin Demoff is an American sports executive best known for serving as the top front-office leader of the NFL’s Los Angeles Rams, overseeing the team’s business operations and strategic direction.
- 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: Ted Sorel Triple: [From Beyond, hasCastMember, Ted Sorel]
Generated description
Ted Sorel was an American character actor best known for his roles in horror and science fiction films and television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Sorel Target entity description: Ted Sorel was an American character actor best known for his roles in horror and science fiction films and television series.
-
A.
Ari Berman
Ari Berman is an American Orthodox rabbi and academic leader who serves as the president of Yeshiva University.
-
B.
Michael Schroeder
Michael Schroeder is a software developer best known for his work on the GNU Screen terminal multiplexer.
-
C.
Taki Theodoracopulos
Taki Theodoracopulos is a Greek-born journalist and socialite known for his long-running, often controversial column in conservative publications and his commentary on high society and politics.
-
D.
Owen Paul
Owen Paul is a Scottish singer and record producer best known for his 1986 hit single "My Favourite Waste of Time."
-
E.
Kevin Demoff
Kevin Demoff is an American sports executive best known for serving as the top front-office leader of the NFL’s Los Angeles Rams, overseeing the team’s business operations and strategic direction.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837579488190964ca004c2eb01c4 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe49bd0819088e25de082184133 |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffde320f748190b7abf6ad4cc81ed9 |
completed | May 10, 2026, 1:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffdec2dd18819092882485ae2baabe |
completed | May 10, 2026, 1:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.