Triple
T12613108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Gangster |
E301178
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Low Company
Low Company is a crime-themed novel that served as the literary basis for the film "The Gangster."
|
E993133
|
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: Low Company | Statement: [The Gangster, basedOn, Low Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Low Company Context triple: [The Gangster, basedOn, Low Company]
-
A.
The Hoose-Gow
The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
-
B.
The Honest Toun
The Honest Toun is the traditional nickname of Musselburgh, a historic coastal town in East Lothian, Scotland, known for its long-standing civic pride and heritage.
-
C.
Hullabaloo
Hullabaloo was a 1960s American musical variety television show that featured popular rock and pop performers of the era.
-
D.
Shankman
Shankman is a surname most notably associated with American film director and choreographer Adam Shankman.
-
E.
The Hucksters
The Hucksters is a 1947 satirical drama film about postwar American advertising, starring Clark Gable and featuring Sydney Greenstreet in a memorable supporting role.
- 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: Low Company Triple: [The Gangster, basedOn, Low Company]
Generated description
Low Company is a crime-themed novel that served as the literary basis for the film "The Gangster."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Low Company Target entity description: Low Company is a crime-themed novel that served as the literary basis for the film "The Gangster."
-
A.
The Hoose-Gow
The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
-
B.
The Honest Toun
The Honest Toun is the traditional nickname of Musselburgh, a historic coastal town in East Lothian, Scotland, known for its long-standing civic pride and heritage.
-
C.
Hullabaloo
Hullabaloo was a 1960s American musical variety television show that featured popular rock and pop performers of the era.
-
D.
Shankman
Shankman is a surname most notably associated with American film director and choreographer Adam Shankman.
-
E.
The Hucksters
The Hucksters is a 1947 satirical drama film about postwar American advertising, starring Clark Gable and featuring Sydney Greenstreet in a memorable supporting role.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c2e5b88190a7cc16002b218d8a |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed1044c8190bbe881d32a4bf29e |
completed | May 2, 2026, 8:30 p.m. |
| NEDg | Description generation | batch_69f6617479ec819080eac67abc9bc435 |
completed | May 2, 2026, 8:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f662695a348190b9911a19dfc9e779 |
completed | May 2, 2026, 8:45 p.m. |
Created at: April 9, 2026, 5:12 p.m.