Triple
T6689557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Meier & Partners Architects |
E152588
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object |
Vivian Lee
Vivian Lee is a prominent architect and key leader at the internationally renowned firm Richard Meier & Partners Architects.
|
E611192
|
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: Vivian Lee | Statement: [Richard Meier & Partners Architects, hasKeyPerson, Vivian Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vivian Lee Context triple: [Richard Meier & Partners Architects, hasKeyPerson, Vivian Lee]
-
A.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
-
B.
Claudia Lee
Claudia Lee is an American actress and singer best known for her role as Magnolia Breeland on the television series "Hart of Dixie."
-
C.
Yvonne Chu
Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
-
D.
Leah Lee
Leah Lee was the wife of French Symbolist poet Jules Laforgue, known primarily through her association with his brief, influential life and work.
-
E.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
- 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: Vivian Lee Triple: [Richard Meier & Partners Architects, hasKeyPerson, Vivian Lee]
Generated description
Vivian Lee is a prominent architect and key leader at the internationally renowned firm Richard Meier & Partners Architects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vivian Lee Target entity description: Vivian Lee is a prominent architect and key leader at the internationally renowned firm Richard Meier & Partners Architects.
-
A.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
-
B.
Claudia Lee
Claudia Lee is an American actress and singer best known for her role as Magnolia Breeland on the television series "Hart of Dixie."
-
C.
Yvonne Chu
Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
-
D.
Leah Lee
Leah Lee was the wife of French Symbolist poet Jules Laforgue, known primarily through her association with his brief, influential life and work.
-
E.
Jennifer Lien
Jennifer Lien is an American actress best known for her role as Kes on the television series "Star Trek: Voyager."
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b15149408190ac679d037d87cba7 |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b519148190a810d0eee7cda734 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f9b3513481909d6e0856f887d3fa |
completed | March 27, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6fa1cb9e881908e030cb70c608a3c |
completed | March 27, 2026, 9:43 p.m. |
Created at: March 27, 2026, 2:04 p.m.