Triple
T4050853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Ambassador to NATO |
E84180
|
entity |
| Predicate | positionHeldBy |
P8
|
FINISHED |
| Object |
Julianne Smith
Julianne Smith is an American diplomat and foreign policy expert who serves as the United States Ambassador to the North Atlantic Treaty Organization (NATO).
|
E524034
|
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: Julianne Smith | Statement: [United States Ambassador to NATO, positionHeldBy, Julianne Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julianne Smith Context triple: [United States Ambassador to NATO, positionHeldBy, Julianne Smith]
-
A.
Karen Smith
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
-
B.
Karen Smith
Karen Smith is a naive and dim-witted but sweet member of the high school clique "The Plastics" in the teen comedy film Mean Girls.
-
C.
Jennifer Smith
Jennifer Smith is a Bermudian politician who served as Premier and was the first woman to lead the government of Bermuda.
-
D.
Stephanie Smith
Stephanie Smith is a minor character in the 2002 hip-hop drama film "8 Mile," which stars Eminem and follows the Detroit rap battle scene.
-
E.
Nina Smith
Nina Smith is known as one of the children of American rapper and actor LL Cool J.
- 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: Julianne Smith Triple: [United States Ambassador to NATO, positionHeldBy, Julianne Smith]
Generated description
Julianne Smith is an American diplomat and foreign policy expert who serves as the United States Ambassador to the North Atlantic Treaty Organization (NATO).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julianne Smith Target entity description: Julianne Smith is an American diplomat and foreign policy expert who serves as the United States Ambassador to the North Atlantic Treaty Organization (NATO).
-
A.
Karen Smith
Karen Smith is a British television producer best known for creating the hit dance competition series "Strictly Come Dancing."
-
B.
Karen Smith
Karen Smith is a naive and dim-witted but sweet member of the high school clique "The Plastics" in the teen comedy film Mean Girls.
-
C.
Jennifer Smith
Jennifer Smith is a Bermudian politician who served as Premier and was the first woman to lead the government of Bermuda.
-
D.
Stephanie Smith
Stephanie Smith is a minor character in the 2002 hip-hop drama film "8 Mile," which stars Eminem and follows the Detroit rap battle scene.
-
E.
Nina Smith
Nina Smith is known as one of the children of American rapper and actor LL Cool J.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb8413848190992e4b5f3b29b43c |
completed | March 9, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c17c9e0819088404cd2d81bfe88 |
completed | March 22, 2026, 4:12 a.m. |
| NEDg | Description generation | batch_69bf6e81519c81909fae4da630af58b5 |
completed | March 22, 2026, 4:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf6edb3d78819083912d4ebe691eff |
completed | March 22, 2026, 4:23 a.m. |
Created at: March 9, 2026, 3:37 p.m.