Triple
T13276777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blaise Cendrars |
E316210
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
L’Or
L’Or is a novel by Blaise Cendrars that fictionalizes the rise and fall of Swiss-born American gold magnate Johann August Sutter during the California Gold Rush.
|
E1031781
|
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: L’Or | Statement: [Blaise Cendrars, notableWork, L’Or]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L’Or Context triple: [Blaise Cendrars, notableWork, L’Or]
-
A.
Orealla
Orealla is a novel by Guyanese writer Roy Heath that explores the lives and cultural tensions within an indigenous community in Guyana.
-
B.
Oro
Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
-
C.
Oro
Oro is a Yoruba deity linked with justice, ancestral spirits, and powerful secret society rituals traditionally marked by the Oro festival.
-
D.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
E.
Ourique
Ourique is a rural municipality in Portugal’s Alentejo region, known for its historical links to the legendary Battle of Ourique and its traditional agricultural landscape.
- 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: L’Or Triple: [Blaise Cendrars, notableWork, L’Or]
Generated description
L’Or is a novel by Blaise Cendrars that fictionalizes the rise and fall of Swiss-born American gold magnate Johann August Sutter during the California Gold Rush.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: L’Or Target entity description: L’Or is a novel by Blaise Cendrars that fictionalizes the rise and fall of Swiss-born American gold magnate Johann August Sutter during the California Gold Rush.
-
A.
Orealla
Orealla is a novel by Guyanese writer Roy Heath that explores the lives and cultural tensions within an indigenous community in Guyana.
-
B.
Oro
Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
-
C.
Oro
Oro is a Yoruba deity linked with justice, ancestral spirits, and powerful secret society rituals traditionally marked by the Oro festival.
-
D.
Durolle
Durolle is a river in central France that flows through the town of Thiers, historically powering its renowned cutlery and knife-making industry.
-
E.
Ourique
Ourique is a rural municipality in Portugal’s Alentejo region, known for its historical links to the legendary Battle of Ourique and its traditional agricultural landscape.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99042f56c819082440c89c0adc442 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a54ff488190a759b46963c0d842 |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f713088cc48190b705336339527f46 |
completed | May 3, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f713bd94048190a61dbd955bd1c542 |
completed | May 3, 2026, 9:22 a.m. |
Created at: April 9, 2026, 9:26 p.m.