Triple
T7371177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakeem Olajuwon |
E170007
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Hakeem
Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
|
E660391
|
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: Hakeem | Statement: [Hakeem Olajuwon, givenName, Hakeem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hakeem Context triple: [Hakeem Olajuwon, givenName, Hakeem]
-
A.
Khari Mateen
Khari Mateen is an American musician, producer, and composer known for his work with The Roots and contributions to hip-hop, soul, and film scores.
-
B.
Mr. Khaliyl
Mr. Khaliyl is a hip-hop music producer best known for his work on Mos Def’s acclaimed album "Black on Both Sides."
-
C.
Taher
Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
-
D.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
E.
Moin Khan
Moin Khan is a former Pakistani wicketkeeper-batsman and World Cup–winning cricketer who later became a prominent coach and selector for Pakistan cricket.
- 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: Hakeem Triple: [Hakeem Olajuwon, givenName, Hakeem]
Generated description
Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hakeem Target entity description: Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
-
A.
Khari Mateen
Khari Mateen is an American musician, producer, and composer known for his work with The Roots and contributions to hip-hop, soul, and film scores.
-
B.
Mr. Khaliyl
Mr. Khaliyl is a hip-hop music producer best known for his work on Mos Def’s acclaimed album "Black on Both Sides."
-
C.
Taher
Taher is a town and commune in northeastern Algeria, serving as an important local center within Jijel Province.
-
D.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
E.
Moin Khan
Moin Khan is a former Pakistani wicketkeeper-batsman and World Cup–winning cricketer who later became a prominent coach and selector for Pakistan cricket.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f182df5c81908964fbaa3f8ec790 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802c711788190806987567dbc9942 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c8035151a481908a33c1ecd12c2f6d |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803aea0808190a5208c02a0db1187 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 3:07 p.m.