Triple
T11699030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zanoni |
E278071
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Mejnour
Mejnour is a mysterious and powerful Rosicrucian adept who serves as the immortal mentor figure in Edward Bulwer-Lytton’s occult novel "Zanoni."
|
E939705
|
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: Mejnour | Statement: [Zanoni, mainCharacter, Mejnour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mejnour Context triple: [Zanoni, mainCharacter, Mejnour]
-
A.
Mansourr
Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
-
B.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
C.
Skhirat
Skhirat is a coastal town in western Morocco known for hosting key international political negotiations and agreements.
-
D.
Hassouna
Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
-
E.
El Mokrani
El Mokrani is a town and commune located within Bouira Province in northern Algeria.
- 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: Mejnour Triple: [Zanoni, mainCharacter, Mejnour]
Generated description
Mejnour is a mysterious and powerful Rosicrucian adept who serves as the immortal mentor figure in Edward Bulwer-Lytton’s occult novel "Zanoni."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mejnour Target entity description: Mejnour is a mysterious and powerful Rosicrucian adept who serves as the immortal mentor figure in Edward Bulwer-Lytton’s occult novel "Zanoni."
-
A.
Mansourr
Mansourr is an alternative spelling of the Arabic given name and surname "Mansour," which is commonly used across the Middle East and North Africa.
-
B.
Mesaieed
Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
-
C.
Skhirat
Skhirat is a coastal town in western Morocco known for hosting key international political negotiations and agreements.
-
D.
Hassouna
Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
-
E.
El Mokrani
El Mokrani is a town and commune located within Bouira Province in northern Algeria.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47df68c81908a91919a69b4880d |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef147e2e10819085eaed83fd955b6b |
completed | April 27, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_69ef3553a1748190b554463bcea8bd1d |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51fe3824819099f440426d3e6888 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.