Triple
T6264409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Longest Journey |
E140377
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Ansell
Ansell is a minor character in the adventure video game "The Longest Journey," appearing as part of its richly detailed narrative world.
|
E579901
|
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: Ansell | Statement: [The Longest Journey, hasCharacter, Ansell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ansell Context triple: [The Longest Journey, hasCharacter, Ansell]
-
A.
Diversey
Diversey is a Chicago Transit Authority 'L' station on the Brown Line located in the Lincoln Park/Lakeview area of Chicago.
-
B.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
C.
Contrex
Contrex is a French mineral water brand known for its high mineral content and association with health and slimming.
-
D.
Kellex Corporation
Kellex Corporation was an engineering firm best known for designing and overseeing construction of the K-25 gaseous diffusion plant used in the Manhattan Project to enrich uranium during World War II.
-
E.
Hach Company
Hach Company is a manufacturer of analytical instruments and reagents specializing in water quality testing and analysis for environmental, industrial, and municipal applications.
- 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: Ansell Triple: [The Longest Journey, hasCharacter, Ansell]
Generated description
Ansell is a minor character in the adventure video game "The Longest Journey," appearing as part of its richly detailed narrative world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ansell Target entity description: Ansell is a minor character in the adventure video game "The Longest Journey," appearing as part of its richly detailed narrative world.
-
A.
Diversey
Diversey is a Chicago Transit Authority 'L' station on the Brown Line located in the Lincoln Park/Lakeview area of Chicago.
-
B.
Brinkman
Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
-
C.
Contrex
Contrex is a French mineral water brand known for its high mineral content and association with health and slimming.
-
D.
Kellex Corporation
Kellex Corporation was an engineering firm best known for designing and overseeing construction of the K-25 gaseous diffusion plant used in the Manhattan Project to enrich uranium during World War II.
-
E.
Hach Company
Hach Company is a manufacturer of analytical instruments and reagents specializing in water quality testing and analysis for environmental, industrial, and municipal applications.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0638c43808190a375e9f29f2b2138 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2445061a481909487fdb04c50493b |
completed | March 24, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_69c2a7b1406c8190a703297cf3dbafca |
completed | March 24, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2a809cb1c81909aca6b1b70310e67 |
completed | March 24, 2026, 3:04 p.m. |
Created at: March 22, 2026, 4:25 p.m.