Triple
T150789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King Hussein of Jordan |
E3426
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
bin Talal
Bin Talal is the family name of Jordan’s Hashemite royal lineage that includes King Hussein and other prominent members of the Jordanian monarchy.
|
E18075
|
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: bin Talal | Statement: [King Hussein of Jordan, familyName, bin Talal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: bin Talal Context triple: [King Hussein of Jordan, familyName, bin Talal]
-
A.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
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.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
D.
Nazlet El-Semman
Nazlet El-Semman is a village on the outskirts of Giza in Egypt, best known as the primary gateway settlement to the Giza Pyramids and Sphinx plateau.
-
E.
Tariq Anwar
Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
- 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: bin Talal Triple: [King Hussein of Jordan, familyName, bin Talal]
Generated description
Bin Talal is the family name of Jordan’s Hashemite royal lineage that includes King Hussein and other prominent members of the Jordanian monarchy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: bin Talal Target entity description: Bin Talal is the family name of Jordan’s Hashemite royal lineage that includes King Hussein and other prominent members of the Jordanian monarchy.
-
A.
Ramin
Ramin is a masculine given name of Persian origin, commonly used in Iran and among Persian-speaking communities.
-
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.
Bader
Bader is the maiden surname of Ruth Bader Ginsburg, the late U.S. Supreme Court Justice and pioneering advocate for gender equality.
-
D.
Nazlet El-Semman
Nazlet El-Semman is a village on the outskirts of Giza in Egypt, best known as the primary gateway settlement to the Giza Pyramids and Sphinx plateau.
-
E.
Tariq Anwar
Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580dda148190a522e0ac276d5f33 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c52f29d88190b899f1eaf3012a4b |
completed | Feb. 28, 2026, 10:36 a.m. |
| NEDg | Description generation | batch_69a2c5dd9db4819097b1163bfa25333b |
completed | Feb. 28, 2026, 10:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2c6e1052c819085f643bfbfcf1076 |
completed | Feb. 28, 2026, 10:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.