Triple
T16779856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Jim |
E407828
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object |
Patusan
Patusan is a remote, fictional Southeast Asian settlement in Joseph Conrad’s novel "Lord Jim," where the protagonist seeks redemption and reinvention.
|
E1233787
|
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: Patusan | Statement: [Lord Jim, setting, Patusan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patusan Context triple: [Lord Jim, setting, Patusan]
-
A.
Marliana
Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
-
B.
Banda-Banda
Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
-
C.
Putaendo
Putaendo is a small Chilean city in the Valparaíso Region, known for its rural character, historical heritage, and location in the Aconcagua Valley.
-
D.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
E.
Satantango
Satantango is a 1994 Hungarian black-and-white art film directed by Béla Tarr, renowned for its seven-hour runtime, long takes, and bleak, atmospheric portrayal of a collapsing rural community.
- 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: Patusan Triple: [Lord Jim, setting, Patusan]
Generated description
Patusan is a remote, fictional Southeast Asian settlement in Joseph Conrad’s novel "Lord Jim," where the protagonist seeks redemption and reinvention.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patusan Target entity description: Patusan is a remote, fictional Southeast Asian settlement in Joseph Conrad’s novel "Lord Jim," where the protagonist seeks redemption and reinvention.
-
A.
Marliana
Marliana is a small Italian municipality in the Tuscany region, known for its hilly landscape and historic rural character.
-
B.
Banda-Banda
Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
-
C.
Putaendo
Putaendo is a small Chilean city in the Valparaíso Region, known for its rural character, historical heritage, and location in the Aconcagua Valley.
-
D.
Sekadau
Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
-
E.
Satantango
Satantango is a 1994 Hungarian black-and-white art film directed by Béla Tarr, renowned for its seven-hour runtime, long takes, and bleak, atmospheric portrayal of a collapsing rural community.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b214cebc81909de80e74b4bac5f8 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab00cf708190a2562fa14d72a4df |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00ad66a9a88190983eee72f9d23e37 |
completed | May 10, 2026, 4:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00addf7674819084f5755c2dacc741 |
completed | May 10, 2026, 4:10 p.m. |
Created at: April 10, 2026, 5:22 a.m.