Triple
T20373613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dexter Holland |
E497633
|
entity |
| Predicate | hasAcademicAdvisor |
P167
|
FINISHED |
| Object |
Suraiya Rasheed
Suraiya Rasheed is an academic scientist known for mentoring students such as musician and molecular biologist Dexter Holland.
|
E1426088
|
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: Suraiya Rasheed | Statement: [Dexter Holland, hasAcademicAdvisor, Suraiya Rasheed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suraiya Rasheed Context triple: [Dexter Holland, hasAcademicAdvisor, Suraiya Rasheed]
-
A.
Rasheda Ali
Rasheda Ali is an American author, public speaker, and advocate best known for her work on Parkinson’s disease awareness and as one of Muhammad Ali’s daughters.
-
B.
Rashidah Ali
Rashidah Ali is a reality television personality and entrepreneur best known for her appearances on VH1’s "Love & Hip Hop" franchise.
-
C.
Robia Rashid
Robia Rashid is an American television writer and producer best known for creating the Netflix dramedy series "Atypical."
-
D.
Nafisa Ali
Nafisa Ali is an Indian actress, former Miss India, and social activist known for her roles in Hindi cinema and her work in public life.
-
E.
Shahidah Omar
Shahidah Omar is an American singer, songwriter, and producer who is also known for her marriage to comedian and actor J. B. Smoove.
- 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: Suraiya Rasheed Triple: [Dexter Holland, hasAcademicAdvisor, Suraiya Rasheed]
Generated description
Suraiya Rasheed is an academic scientist known for mentoring students such as musician and molecular biologist Dexter Holland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suraiya Rasheed Target entity description: Suraiya Rasheed is an academic scientist known for mentoring students such as musician and molecular biologist Dexter Holland.
-
A.
Rasheda Ali
Rasheda Ali is an American author, public speaker, and advocate best known for her work on Parkinson’s disease awareness and as one of Muhammad Ali’s daughters.
-
B.
Rashidah Ali
Rashidah Ali is a reality television personality and entrepreneur best known for her appearances on VH1’s "Love & Hip Hop" franchise.
-
C.
Robia Rashid
Robia Rashid is an American television writer and producer best known for creating the Netflix dramedy series "Atypical."
-
D.
Nafisa Ali
Nafisa Ali is an Indian actress, former Miss India, and social activist known for her roles in Hindi cinema and her work in public life.
-
E.
Shahidah Omar
Shahidah Omar is an American singer, songwriter, and producer who is also known for her marriage to comedian and actor J. B. Smoove.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678aad7b08190a710a75d6828b21e |
completed | April 20, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0870918c908190b87b6a491bc33f4e |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a08716520948190b7b4c8818cafa520 |
completed | May 16, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0871b5776481908db103e118d6e489 |
completed | May 16, 2026, 1:31 p.m. |
Created at: April 16, 2026, 11:27 a.m.