Triple
T18574946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Country, My Country |
E453960
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Kadhum Gubara
Kadhum Gubara is a composer known for creating the music for the film "My Country, My Country."
|
E1331579
|
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: Kadhum Gubara | Statement: [My Country, My Country, musicBy, Kadhum Gubara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kadhum Gubara Context triple: [My Country, My Country, musicBy, Kadhum Gubara]
-
A.
Belqasim
Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
-
B.
Sahnun
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
C.
Fattah
Fattah is the surname of Chaka Fattah, a former U.S. Congressman from Pennsylvania known for his long tenure in the House of Representatives and subsequent corruption conviction.
-
D.
Zubein
Zubein is a variant form of the given name Zubin, which is used as a personal name in various cultures.
-
E.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
- 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: Kadhum Gubara Triple: [My Country, My Country, musicBy, Kadhum Gubara]
Generated description
Kadhum Gubara is a composer known for creating the music for the film "My Country, My Country."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kadhum Gubara Target entity description: Kadhum Gubara is a composer known for creating the music for the film "My Country, My Country."
-
A.
Belqasim
Belqasim is a personal given name of Arabic origin, used primarily in North African and Middle Eastern cultures.
-
B.
Sahnun
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
C.
Fattah
Fattah is the surname of Chaka Fattah, a former U.S. Congressman from Pennsylvania known for his long tenure in the House of Representatives and subsequent corruption conviction.
-
D.
Zubein
Zubein is a variant form of the given name Zubin, which is used as a personal name in various cultures.
-
E.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543c8c0608190afc99235006bf87f |
completed | April 19, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f888bffc819083c8ea4490a53e57 |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f934be088190916350d9209c1d7d |
completed | May 13, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04f9cbff948190ab189a933a1f7e6d |
completed | May 13, 2026, 10:23 p.m. |
Created at: April 10, 2026, 11:43 a.m.