Triple
T7544121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nassar |
E178352
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object |
Naser
Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
|
E677345
|
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: Naser | Statement: [Nassar, hasVariantTransliteration, Naser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naser Context triple: [Nassar, hasVariantTransliteration, Naser]
-
A.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
B.
Sa’id
Sa’id is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
-
C.
Najaf al-Ashraf
Najaf al-Ashraf is the honorific name for the Iraqi city of Najaf, one of Shia Islam’s holiest centers and the site of the Imam Ali Shrine.
-
D.
Ahmad
Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
-
E.
Asad Allah
Asad Allah is an honorific title meaning "Lion of God," famously borne by the early Islamic warrior and companion of the Prophet Muhammad, Hamza ibn Abd al-Muttalib.
- 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: Naser Triple: [Nassar, hasVariantTransliteration, Naser]
Generated description
Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naser Target entity description: Naser is a masculine given name of Arabic origin, commonly used across the Middle East and Muslim-majority regions, meaning "helper" or "victorious."
-
A.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
B.
Sa’id
Sa’id is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
-
C.
Najaf al-Ashraf
Najaf al-Ashraf is the honorific name for the Iraqi city of Najaf, one of Shia Islam’s holiest centers and the site of the Imam Ali Shrine.
-
D.
Ahmad
Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
-
E.
Asad Allah
Asad Allah is an honorific title meaning "Lion of God," famously borne by the early Islamic warrior and companion of the Prophet Muhammad, Hamza ibn Abd al-Muttalib.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f896a27481908b2e120208f268e7 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870741e2481909020633203003a68 |
completed | March 29, 2026, 12:21 a.m. |
| NEDg | Description generation | batch_69c871b98f408190bc7fba4174732af7 |
completed | March 29, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c87238848c819091d5c5ba874c210b |
completed | March 29, 2026, 12:28 a.m. |
Created at: March 27, 2026, 3:48 p.m.