Triple
T12945899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Az-Zahir Hakim |
E309763
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Az-Zahir
Az-Zahir is a former American football wide receiver and return specialist who played primarily for the St. Louis Rams in the NFL.
|
E1010560
|
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: Az-Zahir | Statement: [Az-Zahir Hakim, givenName, Az-Zahir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Az-Zahir Context triple: [Az-Zahir Hakim, givenName, Az-Zahir]
-
A.
Al-Ghazalah
Al-Ghazalah is a town in northwestern Saudi Arabia situated within the Ha'il administrative region.
-
B.
Az-Zukhruf
Az-Zukhruf is the 43rd chapter of the Qur’an, known for emphasizing the folly of worldly adornments and the importance of sincere faith in God.
-
C.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
D.
al-Burhan
Al-Burhan is the family name of Abdel Fattah al-Burhan, the Sudanese army general and de facto leader who has played a central role in Sudan’s recent political and military developments.
-
E.
O Zahir
O Zahir is the original Portuguese title of a literary work by the Brazilian writer Clarice Lispector.
- 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: Az-Zahir Triple: [Az-Zahir Hakim, givenName, Az-Zahir]
Generated description
Az-Zahir is a former American football wide receiver and return specialist who played primarily for the St. Louis Rams in the NFL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Az-Zahir Target entity description: Az-Zahir is a former American football wide receiver and return specialist who played primarily for the St. Louis Rams in the NFL.
-
A.
Al-Ghazalah
Al-Ghazalah is a town in northwestern Saudi Arabia situated within the Ha'il administrative region.
-
B.
Az-Zukhruf
Az-Zukhruf is the 43rd chapter of the Qur’an, known for emphasizing the folly of worldly adornments and the importance of sincere faith in God.
-
C.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
D.
al-Burhan
Al-Burhan is the family name of Abdel Fattah al-Burhan, the Sudanese army general and de facto leader who has played a central role in Sudan’s recent political and military developments.
-
E.
O Zahir
O Zahir is the original Portuguese title of a literary work by the Brazilian writer Clarice Lispector.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1b3694819098527dcea3cfed93 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af75bc04819098d98c47fca48ac9 |
completed | May 3, 2026, 2:14 a.m. |
| NEDg | Description generation | batch_69f6b02e3b9881909387c1f70176a1bd |
completed | May 3, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b11ced30819090f67a0b1e1369aa |
completed | May 3, 2026, 2:21 a.m. |
Created at: April 9, 2026, 5:43 p.m.