Triple
T21918831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Ahram |
E541248
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Beshara Takla
Beshara Takla was an Egyptian journalist and publisher best known for establishing the influential newspaper Al-Ahram in the 19th century.
|
E1508124
|
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: Beshara Takla | Statement: [Al-Ahram, founder, Beshara Takla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beshara Takla Context triple: [Al-Ahram, founder, Beshara Takla]
-
A.
Qahhor
Qahhor is a masculine given name commonly used in Central Asia, particularly in Tajik and Uzbek cultures.
-
B.
Bakhah
Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
-
C.
Hajar Churashir Maa
Hajar Churashir Maa is a landmark Bengali novel by Mahasweta Devi that portrays a mother's political awakening amid the Naxalite movement and state repression in 1970s India.
-
D.
Barka Kunama
Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
-
E.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
- 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: Beshara Takla Triple: [Al-Ahram, founder, Beshara Takla]
Generated description
Beshara Takla was an Egyptian journalist and publisher best known for establishing the influential newspaper Al-Ahram in the 19th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beshara Takla Target entity description: Beshara Takla was an Egyptian journalist and publisher best known for establishing the influential newspaper Al-Ahram in the 19th century.
-
A.
Qahhor
Qahhor is a masculine given name commonly used in Central Asia, particularly in Tajik and Uzbek cultures.
-
B.
Bakhah
Bakhah is a village in Syria known as one of the few remaining communities where Western Neo-Aramaic is still actively spoken.
-
C.
Hajar Churashir Maa
Hajar Churashir Maa is a landmark Bengali novel by Mahasweta Devi that portrays a mother's political awakening amid the Naxalite movement and state repression in 1970s India.
-
D.
Barka Kunama
Barka Kunama is a dialect of the Kunama language spoken by Kunama communities, primarily in parts of Eritrea and neighboring regions.
-
E.
Ḥimṣ
Ḥimṣ is an alternative transliteration of Homs, a major city in western Syria known for its historical significance and role in the Syrian conflict.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233924008190923724d0c0f2d435 |
completed | April 28, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a5a13f09c819088b50585423a1835 |
completed | May 18, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_6a0a5a967d28819084a37207e17d4f68 |
completed | May 18, 2026, 12:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5b24f6708190bfe903dceb0e9210 |
completed | May 18, 2026, 12:19 a.m. |
Created at: April 16, 2026, 7:44 p.m.