Triple
T14045738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High as Hope |
E337950
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kamal Ahmed
Kamal Ahmed is a music producer known for his work on Florence + The Machine’s album "High as Hope."
|
E1076630
|
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: Kamal Ahmed | Statement: [High as Hope, producer, Kamal Ahmed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamal Ahmed Context triple: [High as Hope, producer, Kamal Ahmed]
-
A.
Sharif Kamal
Sharif Kamal was a prominent Tatar writer recognized as one of the key figures in the development of modern Tatar literature.
-
B.
Abdulla Elyas
Abdulla Elyas is a Saudi entrepreneur best known as one of the co-founders of the Middle Eastern ride-hailing company Careem.
-
C.
Karim Ahmad Khan
Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
-
D.
Mohammed Waheed Hassan
Mohammed Waheed Hassan is a Maldivian politician who served as President of the Maldives following the resignation of Mohamed Nasheed.
-
E.
Assef Shawkat
Assef Shawkat was a high-ranking Syrian military and intelligence official, influential within President Bashar al-Assad’s inner circle until his death in 2012.
- 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: Kamal Ahmed Triple: [High as Hope, producer, Kamal Ahmed]
Generated description
Kamal Ahmed is a music producer known for his work on Florence + The Machine’s album "High as Hope."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kamal Ahmed Target entity description: Kamal Ahmed is a music producer known for his work on Florence + The Machine’s album "High as Hope."
-
A.
Sharif Kamal
Sharif Kamal was a prominent Tatar writer recognized as one of the key figures in the development of modern Tatar literature.
-
B.
Abdulla Elyas
Abdulla Elyas is a Saudi entrepreneur best known as one of the co-founders of the Middle Eastern ride-hailing company Careem.
-
C.
Karim Ahmad Khan
Karim Ahmad Khan is a British barrister and international lawyer who serves as the Chief Prosecutor of the International Criminal Court, known for his work in international criminal and humanitarian law.
-
D.
Mohammed Waheed Hassan
Mohammed Waheed Hassan is a Maldivian politician who served as President of the Maldives following the resignation of Mohamed Nasheed.
-
E.
Assef Shawkat
Assef Shawkat was a high-ranking Syrian military and intelligence official, influential within President Bashar al-Assad’s inner circle until his death in 2012.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34148348190a8c67e035646e431 |
completed | May 6, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_69fc4300948881908784c5ad99188ad2 |
completed | May 7, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 10:20 p.m.