Triple
T16779861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Jim |
E407828
|
entity |
| Predicate | narrator |
P2181
|
FINISHED |
| Object | Marlow |
E521115
|
NE FINISHED |
How this triple was built (2 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: Marlow | Statement: [Lord Jim, narrator, Marlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlow Context triple: [Lord Jim, narrator, Marlow]
-
A.
Marlow
Marlow is a historic English town on the River Thames in Buckinghamshire, known for its picturesque setting, suspension bridge, and literary associations.
-
B.
Marlow
Marlow is the brutal vampire leader and primary antagonist in the horror film "30 Days of Night."
-
C.
Charles Marlow
chosen
Charles Marlow is the introspective sailor and storyteller who serves as the primary narrator in several of Joseph Conrad’s works, most notably "Heart of Darkness."
-
D.
Conrad
Conrad is a fictional character portrayed by American actor Lucas Black, known for his roles in film and television dramas.
-
E.
Conrad
Conrad is the daring pirate hero of Lord Byron’s narrative poem “Le Corsaire,” known for his rebellious spirit and tragic romantic fate.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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. |
Created at: April 10, 2026, 5:22 a.m.