Triple
T14994336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilāh an-nās |
E373917
|
entity |
| Predicate | mentionedWith |
P63729
|
FINISHED |
| Object |
Rabb an-nās
Rabb an-nās is a Qur’anic title for God meaning “Lord of mankind,” emphasizing His sovereignty, care, and authority over all people.
|
E1131143
|
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: Rabb an-nās | Statement: [Ilāh an-nās, mentionedWith, Rabb an-nās]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rabb an-nās Context triple: [Ilāh an-nās, mentionedWith, Rabb an-nās]
-
A.
Al-Insan
Al-Insan is the 76th chapter of the Qur’an, a Medinan surah that reflects on human creation, free will, and the rewards and punishments of the Hereafter.
-
B.
Al Habilayn
Al Habilayn is a town in southwestern Yemen that serves as an administrative center in the Radfan mountain region.
-
C.
Sarei HaMeah
Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
-
D.
De Mensen
De Mensen is a Belgian television production company known for creating popular scripted and unscripted shows for local and international markets.
-
E.
Mashíyyat
Mashíyyat is the first month of the Badíʻ (Baháʼí) calendar, associated with the concept of the Divine Will.
- 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: Rabb an-nās Triple: [Ilāh an-nās, mentionedWith, Rabb an-nās]
Generated description
Rabb an-nās is a Qur’anic title for God meaning “Lord of mankind,” emphasizing His sovereignty, care, and authority over all people.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rabb an-nās Target entity description: Rabb an-nās is a Qur’anic title for God meaning “Lord of mankind,” emphasizing His sovereignty, care, and authority over all people.
-
A.
Al-Insan
Al-Insan is the 76th chapter of the Qur’an, a Medinan surah that reflects on human creation, free will, and the rewards and punishments of the Hereafter.
-
B.
Al Habilayn
Al Habilayn is a town in southwestern Yemen that serves as an administrative center in the Radfan mountain region.
-
C.
Sarei HaMeah
Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
-
D.
De Mensen
De Mensen is a Belgian television production company known for creating popular scripted and unscripted shows for local and international markets.
-
E.
Mashíyyat
Mashíyyat is the first month of the Badíʻ (Baháʼí) calendar, associated with the concept of the Divine Will.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded716ebb481908224d2d4f7561b03 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969a63f081908bf11783e2a51229 |
completed | May 9, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69fe97609b3481908ed481f9f061b148 |
completed | May 9, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe980155748190aef4ce876f985ef2 |
completed | May 9, 2026, 2:12 a.m. |
Created at: April 10, 2026, 2:53 a.m.