Triple
T5751863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Issa Rae |
E126871
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jo-Issa
Jo-Issa is the birth name of Issa Rae, the American actress, writer, and producer best known for creating and starring in the HBO series "Insecure."
|
E543885
|
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: Jo-Issa | Statement: [Issa Rae, givenName, Jo-Issa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jo-Issa Context triple: [Issa Rae, givenName, Jo-Issa]
-
A.
Isami
Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
-
B.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
-
C.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
D.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
E.
Yojo
Yojo is the small wooden idol and personal god of the harpooner Queequeg in Herman Melville’s novel "Moby-Dick."
- 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: Jo-Issa Triple: [Issa Rae, givenName, Jo-Issa]
Generated description
Jo-Issa is the birth name of Issa Rae, the American actress, writer, and producer best known for creating and starring in the HBO series "Insecure."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jo-Issa Target entity description: Jo-Issa is the birth name of Issa Rae, the American actress, writer, and producer best known for creating and starring in the HBO series "Insecure."
-
A.
Isami
Isami was a 14th-century Indian historian and poet best known for his Persian chronicle "Futuh-us-Salatin," which records the political and military history of the Delhi Sultanate, including the Mongol invasions of India.
-
B.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
-
C.
Yasu
Yasu is a Japanese city located in Shiga Prefecture, known for its blend of residential areas, local industry, and proximity to Lake Biwa.
-
D.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
E.
Yojo
Yojo is the small wooden idol and personal god of the harpooner Queequeg in Herman Melville’s novel "Moby-Dick."
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3a50b88190a943b2d91d3c5b8e |
completed | March 22, 2026, 11:41 p.m. |
| NEDg | Description generation | batch_69c0880ef8608190a602c7b9c7f753fb |
completed | March 23, 2026, 12:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c088cff95481908a8e04e763269062 |
completed | March 23, 2026, 12:26 a.m. |
Created at: March 22, 2026, 3:48 p.m.