Triple
T7026305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohamed |
E162955
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Mohamad
Mohamad is a masculine given name of Arabic origin, commonly used as a variant spelling of Muhammad.
|
E638039
|
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: Mohamad | Statement: [Mohamed, hasVariant, Mohamad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohamad Context triple: [Mohamed, hasVariant, Mohamad]
-
A.
Muhammad Akbar
Muhammad Akbar was a Mughal prince and son of Emperor Aurangzeb who is known for rebelling against his father and seeking refuge at the court of the Maratha leader Sambhaji and later in Persia.
-
B.
Achmed Abdullah
Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
-
C.
Mohammad Nasih
Mohammad Nasih is an Indonesian academic who serves as the rector of Airlangga University, one of the country’s leading public universities.
-
D.
Hassanal
Hassanal is the given name of Hassanal Bolkiah, the long-reigning Sultan and Prime Minister of Brunei.
-
E.
Ismail
Ismail is a prophet in Islamic tradition, revered as a son of Ibrahim (Abraham) and an exemplar of patience and obedience to God.
- 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: Mohamad Triple: [Mohamed, hasVariant, Mohamad]
Generated description
Mohamad is a masculine given name of Arabic origin, commonly used as a variant spelling of Muhammad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mohamad Target entity description: Mohamad is a masculine given name of Arabic origin, commonly used as a variant spelling of Muhammad.
-
A.
Muhammad Akbar
Muhammad Akbar was a Mughal prince and son of Emperor Aurangzeb who is known for rebelling against his father and seeking refuge at the court of the Maratha leader Sambhaji and later in Persia.
-
B.
Achmed Abdullah
Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
-
C.
Mohammad Nasih
Mohammad Nasih is an Indonesian academic who serves as the rector of Airlangga University, one of the country’s leading public universities.
-
D.
Hassanal
Hassanal is the given name of Hassanal Bolkiah, the long-reigning Sultan and Prime Minister of Brunei.
-
E.
Ismail
Ismail is a prophet in Islamic tradition, revered as a son of Ibrahim (Abraham) and an exemplar of patience and obedience to God.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fd6ab48190865271e16e8ff669 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78857d23c8190904a90459a802cb8 |
completed | March 28, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69c7899138988190b1747f6e90851df7 |
completed | March 28, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c789ecb50c8190b67bc1152b33d1eb |
completed | March 28, 2026, 7:57 a.m. |
Created at: March 27, 2026, 2:35 p.m.