Triple
T19526879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Clay |
E488542
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object |
Marvin Unger
Marvin Unger is a character in Stanley Kubrick’s 1956 film noir "The Killing," serving as a timid but loyal associate who helps finance Johnny Clay’s racetrack heist.
|
E1423379
|
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: Marvin Unger | Statement: [Johnny Clay, worksWith, Marvin Unger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marvin Unger Context triple: [Johnny Clay, worksWith, Marvin Unger]
-
A.
Irwin Unger
Irwin Unger was an American historian best known for his scholarship on the Great Depression and American economic and political history, for which he won the Pulitzer Prize.
-
B.
Arthur Unger
Arthur Unger is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Unger.
-
C.
Marty Unger
Marty Unger is an individual notable enough to be recognized as a prominent bearer of the Unger surname.
-
D.
Marvin Dorfler
Marvin Dorfler is a bumbling yet persistent bounty hunter who serves as a comic foil to Jack Walsh in the action-comedy film "Midnight Run."
-
E.
David A. Unger
David A. Unger is a film producer and talent manager known for his work on international action and martial arts projects.
- 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: Marvin Unger Triple: [Johnny Clay, worksWith, Marvin Unger]
Generated description
Marvin Unger is a character in Stanley Kubrick’s 1956 film noir "The Killing," serving as a timid but loyal associate who helps finance Johnny Clay’s racetrack heist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marvin Unger Target entity description: Marvin Unger is a character in Stanley Kubrick’s 1956 film noir "The Killing," serving as a timid but loyal associate who helps finance Johnny Clay’s racetrack heist.
-
A.
Irwin Unger
Irwin Unger was an American historian best known for his scholarship on the Great Depression and American economic and political history, for which he won the Pulitzer Prize.
-
B.
Arthur Unger
Arthur Unger is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Unger.
-
C.
Marty Unger
Marty Unger is an individual notable enough to be recognized as a prominent bearer of the Unger surname.
-
D.
Marvin Dorfler
Marvin Dorfler is a bumbling yet persistent bounty hunter who serves as a comic foil to Jack Walsh in the action-comedy film "Midnight Run."
-
E.
David A. Unger
David A. Unger is a film producer and talent manager known for his work on international action and martial arts projects.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363c2660819093a6b9a444ca0ad4 |
completed | April 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0861013a1081909a47782a9a1ac1d0 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086264e3408190847a995f3538c70b |
completed | May 16, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0863b6dd84819089344a5ff28bf0cf |
completed | May 16, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:41 p.m.