Triple
T15974557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzy Welch |
E387409
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Suzanne Welch
Suzanne "Suzy" Welch is an American author, television commentator, and business journalist known for her work on leadership, management, and career strategy.
|
E1393563
|
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: Suzanne Welch | Statement: [Suzy Welch, alsoKnownAs, Suzanne Welch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzanne Welch Context triple: [Suzy Welch, alsoKnownAs, Suzanne Welch]
-
A.
Suzanne Todd
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
-
B.
Suzanne Scott
Suzanne Scott is an individual honored as a namesake of the Suzanne and Walter Scott Aquarium, indicating her significant personal or philanthropic connection to that institution.
-
C.
Suzanne Perrin
Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
-
D.
Suzanne Frank
Suzanne Frank is the private client for Peter Eisenman’s experimental House VI residence, a landmark of deconstructivist architecture.
-
E.
Susan Duerden
Susan Duerden is a British actress known for her voice and screen roles in film, television, and audio productions.
- 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: Suzanne Welch Triple: [Suzy Welch, alsoKnownAs, Suzanne Welch]
Generated description
Suzanne "Suzy" Welch is an American author, television commentator, and business journalist known for her work on leadership, management, and career strategy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Suzanne Welch Target entity description: Suzanne "Suzy" Welch is an American author, television commentator, and business journalist known for her work on leadership, management, and career strategy.
-
A.
Suzanne Todd
Suzanne Todd is an American film producer known for her work on influential movies such as "Memento" and the "Austin Powers" series.
-
B.
Suzanne Scott
Suzanne Scott is an individual honored as a namesake of the Suzanne and Walter Scott Aquarium, indicating her significant personal or philanthropic connection to that institution.
-
C.
Suzanne Perrin
Suzanne Perrin was the second wife of Franklin D. Roosevelt Jr., a lawyer and politician and son of U.S. President Franklin D. Roosevelt.
-
D.
Suzanne Frank
Suzanne Frank is the private client for Peter Eisenman’s experimental House VI residence, a landmark of deconstructivist architecture.
-
E.
Susan Duerden
Susan Duerden is a British actress known for her voice and screen roles in film, television, and audio productions.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572b667c8190b28d0556e45422bb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd4725608190b1af4b9d64e362a8 |
completed | May 16, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_6a07bdd25abc81908dac2444f7a9625e |
completed | May 16, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07be58e4088190a01c67b21b5ca34d |
completed | May 16, 2026, 12:46 a.m. |
Created at: April 10, 2026, 4:54 a.m.