Triple
T12208868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamal |
E290903
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Kamel
Kamel is a given name, often used in Arabic-speaking and related cultures, that serves as a variant form of the name Kamal.
|
E971805
|
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: Kamel | Statement: [Kamal, hasVariantForm, Kamel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamel Context triple: [Kamal, hasVariantForm, Kamel]
-
A.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
B.
Camel
Camel is the NATO reporting name for the Tupolev Tu-104, a Soviet-era twinjet airliner and one of the world’s first successful jet-powered passenger aircraft.
-
C.
Jameln
Jameln is a small municipality in Lower Saxony, Germany, situated within the collective municipality (Samtgemeinde) of Elbtalaue in the Lüchow-Dannenberg district.
-
D.
Al-Fil
Al-Fil is the 105th chapter of the Qur’an, known for recounting the story of the Army of the Elephant and God’s protection of the Kaaba.
-
E.
Marwan the Donkey
Marwan the Donkey is the derisive nickname of Marwan II, the last Umayyad caliph whose defeat led to the dynasty’s collapse and the rise of the Abbasid Caliphate.
- 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: Kamel Triple: [Kamal, hasVariantForm, Kamel]
Generated description
Kamel is a given name, often used in Arabic-speaking and related cultures, that serves as a variant form of the name Kamal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamel Target entity description: Kamel is a given name, often used in Arabic-speaking and related cultures, that serves as a variant form of the name Kamal.
-
A.
Camel
Camel is a long-established American cigarette brand known for its distinctive camel logo and association with R.J. Reynolds Tobacco Company.
-
B.
Camel
Camel is the NATO reporting name for the Tupolev Tu-104, a Soviet-era twinjet airliner and one of the world’s first successful jet-powered passenger aircraft.
-
C.
Jameln
Jameln is a small municipality in Lower Saxony, Germany, situated within the collective municipality (Samtgemeinde) of Elbtalaue in the Lüchow-Dannenberg district.
-
D.
Al-Fil
Al-Fil is the 105th chapter of the Qur’an, known for recounting the story of the Army of the Elephant and God’s protection of the Kaaba.
-
E.
Marwan the Donkey
Marwan the Donkey is the derisive nickname of Marwan II, the last Umayyad caliph whose defeat led to the dynasty’s collapse and the rise of the Abbasid Caliphate.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9d2f0c81908352cd9f0167c6ab |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60f2154c8819081f9cf6f51e5255b |
completed | May 2, 2026, 2:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60fe8c2ec8190af7c69dd17ea75fe |
completed | May 2, 2026, 2:53 p.m. |
Created at: April 8, 2026, 9:51 p.m.