Triple
T1030164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawed Karim |
E22231
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jawed
Jawed is the given name of Jawed Karim, the computer scientist and entrepreneur best known as a co-founder of YouTube.
|
E121407
|
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: Jawed | Statement: [Jawed Karim, givenName, Jawed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jawed Context triple: [Jawed Karim, givenName, Jawed]
-
A.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
B.
Joost
Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
-
C.
Jon Jashni
Jon Jashni is an American film and television producer and media executive known for his work on major studio genre films and for leadership roles at companies like Legendary Entertainment.
-
D.
Khan
Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
-
E.
Jo
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
- 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: Jawed Triple: [Jawed Karim, givenName, Jawed]
Generated description
Jawed is the given name of Jawed Karim, the computer scientist and entrepreneur best known as a co-founder of YouTube.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jawed Target entity description: Jawed is the given name of Jawed Karim, the computer scientist and entrepreneur best known as a co-founder of YouTube.
-
A.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
B.
Joost
Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
-
C.
Jon Jashni
Jon Jashni is an American film and television producer and media executive known for his work on major studio genre films and for leadership roles at companies like Legendary Entertainment.
-
D.
Khan
Khan is a common surname of Central and South Asian origin historically associated with nobility and leadership, now widely used across Muslim and other communities worldwide.
-
E.
Jo
Jo is a given name used across various cultures, often as a short form of names like Joseph, Joanna, or Jonathan.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f962608190b3ebd9140472b979 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bbf5a1c819086e1ff529d05f311 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3d80db008190b71b893f9d78ba4b |
completed | March 7, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3df3fea8819080b83c840ffd59a8 |
completed | March 7, 2026, 3:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.