Triple
T19065355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Herschman |
E466641
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Glen in Accepted
Glen in Accepted is a quirky, socially awkward student at the fake South Harmon Institute of Technology in the 2006 comedy film "Accepted."
|
E1356928
|
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: Glen in Accepted | Statement: [Adam Herschman, portrayedCharacter, Glen in Accepted]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glen in Accepted Context triple: [Adam Herschman, portrayedCharacter, Glen in Accepted]
-
A.
GLEN
GLEN is the London Stock Exchange ticker symbol for Glencore, a major multinational commodity trading and mining company.
-
B.
Road to Acceptance
"Road to Acceptance" is a song by American punk rock band Green Day, originally released on their debut studio album 39/Smooth.
-
C.
The Glens
The Glens is a local government electoral area in Northern Ireland, named after and encompassing part of the scenic Glens of Antrim region.
-
D.
The Glens
The Glens is the commonly used nickname for Glentoran Football Club, a prominent Northern Irish football team based in East Belfast.
-
E.
Glen
Glen is a fictional character from Jake Arnott’s crime novel "The Long Firm," which explores the London underworld of the 1960s.
- 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: Glen in Accepted Triple: [Adam Herschman, portrayedCharacter, Glen in Accepted]
Generated description
Glen in Accepted is a quirky, socially awkward student at the fake South Harmon Institute of Technology in the 2006 comedy film "Accepted."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glen in Accepted Target entity description: Glen in Accepted is a quirky, socially awkward student at the fake South Harmon Institute of Technology in the 2006 comedy film "Accepted."
-
A.
GLEN
GLEN is the London Stock Exchange ticker symbol for Glencore, a major multinational commodity trading and mining company.
-
B.
Road to Acceptance
"Road to Acceptance" is a song by American punk rock band Green Day, originally released on their debut studio album 39/Smooth.
-
C.
The Glens
The Glens is a local government electoral area in Northern Ireland, named after and encompassing part of the scenic Glens of Antrim region.
-
D.
The Glens
The Glens is the commonly used nickname for Glentoran Football Club, a prominent Northern Irish football team based in East Belfast.
-
E.
Glen
Glen is a fictional character from Jake Arnott’s crime novel "The Long Firm," which explores the London underworld of the 1960s.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19799d8819099d0b848771ae425 |
completed | April 20, 2026, 8:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05d3586fc88190b7e48c4afb767a2a |
completed | May 14, 2026, 1:51 p.m. |
| NEDg | Description generation | batch_6a05d430aabc8190bdf30a16700e2476 |
completed | May 14, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05d4e41f108190a2d7a3a60d1e3b87 |
completed | May 14, 2026, 1:57 p.m. |
Created at: April 10, 2026, 12:03 p.m.