Triple
T10173838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamdan bin Mohammed Al Maktoum |
E235799
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hamdan
Hamdan is a common Arabic male given name, notably borne by Crown Prince Hamdan bin Mohammed Al Maktoum of Dubai.
|
E844815
|
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: Hamdan | Statement: [Hamdan bin Mohammed Al Maktoum, givenName, Hamdan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamdan Context triple: [Hamdan bin Mohammed Al Maktoum, givenName, Hamdan]
-
A.
Hassan
Hassan is a person known primarily as the sibling of Murad Mirza.
-
B.
Hassan
Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
-
C.
Hassan
Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
-
D.
Hassan
Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
-
E.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
- 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: Hamdan Triple: [Hamdan bin Mohammed Al Maktoum, givenName, Hamdan]
Generated description
Hamdan is a common Arabic male given name, notably borne by Crown Prince Hamdan bin Mohammed Al Maktoum of Dubai.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamdan Target entity description: Hamdan is a common Arabic male given name, notably borne by Crown Prince Hamdan bin Mohammed Al Maktoum of Dubai.
-
A.
Hassan
Hassan is a person known primarily as the sibling of Murad Mirza.
-
B.
Hassan
Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
-
C.
Hassan
Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
-
D.
Hassan
Hassan is a male given name of Arabic origin commonly used across the Muslim world and beyond.
-
E.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3010c386481908bc0c985c0b5ff93 |
completed | April 6, 2026, 12:40 a.m. |
| NEDg | Description generation | batch_69d30256ee40819098569b37eb27d3d1 |
completed | April 6, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d302d248e08190b6b7bae9343b6f9a |
completed | April 6, 2026, 12:48 a.m. |
Created at: March 30, 2026, 9:11 p.m.