Triple
T14165241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamim |
E351055
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Tamīm
Tamīm is an Arabic given name and surname, commonly used across the Arab and Muslim world and borne by several notable historical and contemporary figures.
|
E1083054
|
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: Tamīm | Statement: [Tamim, hasVariantSpelling, Tamīm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamīm Context triple: [Tamim, hasVariantSpelling, Tamīm]
-
A.
Al-Ruʾāsī
Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
-
B.
Nayef
Nayef is a masculine given name of Arabic origin commonly used in the Arab world.
-
C.
Riyad al-Maliki
Riyad al-Maliki is a Palestinian politician and diplomat who has served as the Minister of Foreign Affairs of the State of Palestine.
-
D.
Al Anoud
Al Anoud is a Saudi princess from the Al Jiluwi branch of the royal family, known primarily as the wife of King Fahd of Saudi Arabia.
-
E.
Walid
Walid is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
- 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: Tamīm Triple: [Tamim, hasVariantSpelling, Tamīm]
Generated description
Tamīm is an Arabic given name and surname, commonly used across the Arab and Muslim world and borne by several notable historical and contemporary figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamīm Target entity description: Tamīm is an Arabic given name and surname, commonly used across the Arab and Muslim world and borne by several notable historical and contemporary figures.
-
A.
Al-Ruʾāsī
Al-Ruʾāsī was an early Arab grammarian and one of the foundational figures of the Kufan school of grammar in the formative period of Arabic linguistic scholarship.
-
B.
Nayef
Nayef is a masculine given name of Arabic origin commonly used in the Arab world.
-
C.
Riyad al-Maliki
Riyad al-Maliki is a Palestinian politician and diplomat who has served as the Minister of Foreign Affairs of the State of Palestine.
-
D.
Al Anoud
Al Anoud is a Saudi princess from the Al Jiluwi branch of the royal family, known primarily as the wife of King Fahd of Saudi Arabia.
-
E.
Walid
Walid is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b207cc8190b85b1ff0910b54da |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f57ad88190aeb8ee0f834bfa20 |
completed | May 7, 2026, 8:37 p.m. |
| NEDg | Description generation | batch_69fcfdcbd53c81909a347e26b30f9c0b |
completed | May 7, 2026, 9:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcfe9099508190bafd65d0d00129f0 |
completed | May 7, 2026, 9:05 p.m. |
Created at: April 10, 2026, 12:59 a.m.