Triple
T14413268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skiptrace |
E357383
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Jay Froberg
Jay Froberg is a screenwriter best known for his work on the action-comedy film "Skiptrace."
|
E1097646
|
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: Jay Froberg | Statement: [Skiptrace, screenwriter, Jay Froberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Froberg Context triple: [Skiptrace, screenwriter, Jay Froberg]
-
A.
Eric Lofgren
Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
-
B.
Nick Grinde
Nick Grinde was an American film director and screenwriter active during Hollywood’s early sound era, known for his work on numerous studio features in the 1930s and 1940s.
-
C.
Jhonas Enroth
Jhonas Enroth is a Swedish professional ice hockey goaltender known for his international success with Sweden and his career in the NHL.
-
D.
Eric Bergstol
Eric Bergstol is an American golf course architect known for designing high-end, links-style courses in the New York metropolitan area.
-
E.
Michael Bergen
Michael Bergen is the charming yet immature college student and central character played by Ryan Reynolds in the sitcom "Two Guys and a Girl."
- 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: Jay Froberg Triple: [Skiptrace, screenwriter, Jay Froberg]
Generated description
Jay Froberg is a screenwriter best known for his work on the action-comedy film "Skiptrace."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jay Froberg Target entity description: Jay Froberg is a screenwriter best known for his work on the action-comedy film "Skiptrace."
-
A.
Eric Lofgren
Eric Lofgren is an epidemiologist known for using World of Warcraft’s Corrupted Blood incident as a model to study the spread of infectious diseases and human behavior during epidemics.
-
B.
Nick Grinde
Nick Grinde was an American film director and screenwriter active during Hollywood’s early sound era, known for his work on numerous studio features in the 1930s and 1940s.
-
C.
Jhonas Enroth
Jhonas Enroth is a Swedish professional ice hockey goaltender known for his international success with Sweden and his career in the NHL.
-
D.
Eric Bergstol
Eric Bergstol is an American golf course architect known for designing high-end, links-style courses in the New York metropolitan area.
-
E.
Michael Bergen
Michael Bergen is the charming yet immature college student and central character played by Ryan Reynolds in the sitcom "Two Guys and a Girl."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd552858208190ba1550e7c1176a2a |
completed | May 8, 2026, 3:14 a.m. |
| NEDg | Description generation | batch_69fd5671e4688190ab1b7a7ed6c0cfb8 |
completed | May 8, 2026, 3:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd57710f648190a1344ac1363acce1 |
completed | May 8, 2026, 3:24 a.m. |
Created at: April 10, 2026, 1:17 a.m.