Triple
T9997518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hany Abu-Assad |
E197237
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hany
Hany is a masculine given name commonly used in Arabic-speaking cultures.
|
E833691
|
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: Hany | Statement: [Hany Abu-Assad, givenName, Hany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hany Context triple: [Hany Abu-Assad, givenName, Hany]
-
A.
Hani
The Hani are an ethnic minority group in China, primarily known for their terraced rice farming, distinctive traditional dress, and rich folk culture in the mountainous regions of Yunnan.
-
B.
Haya
Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
-
C.
Haya
The Haya are a Bantu-speaking ethnic group of northwestern Tanzania, known for their advanced precolonial ironworking and intensive banana-based agriculture around Lake Victoria.
-
D.
Raneb
Raneb was an early ancient Egyptian pharaoh of the Second Dynasty, known for his association with the sun god Ra and for helping consolidate royal power in the formative period of the Egyptian state.
-
E.
Hanan
Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
- 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: Hany Triple: [Hany Abu-Assad, givenName, Hany]
Generated description
Hany is a masculine given name commonly used in Arabic-speaking cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hany Target entity description: Hany is a masculine given name commonly used in Arabic-speaking cultures.
-
A.
Hani
The Hani are an ethnic minority group in China, primarily known for their terraced rice farming, distinctive traditional dress, and rich folk culture in the mountainous regions of Yunnan.
-
B.
Haya
Haya is a feminine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
-
C.
Haya
The Haya are a Bantu-speaking ethnic group of northwestern Tanzania, known for their advanced precolonial ironworking and intensive banana-based agriculture around Lake Victoria.
-
D.
Raneb
Raneb was an early ancient Egyptian pharaoh of the Second Dynasty, known for his association with the sun god Ra and for helping consolidate royal power in the formative period of the Egyptian state.
-
E.
Hanan
Hanan is a given name most notably borne by Palestinian legislator, activist, and scholar Hanan Ashrawi.
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8aa1a881909879a694496f11a5 |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d258439fe88190b17da69f542ecf61 |
completed | April 5, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69d259701e488190b288c9f523a1ec87 |
completed | April 5, 2026, 12:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d259da25e081909ac184f4fa80c57e |
completed | April 5, 2026, 12:47 p.m. |
Created at: March 30, 2026, 8:51 p.m.