Triple
T6412472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Scott |
E127738
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ann Scott
Ann Scott is an American philanthropist and former First Lady of Florida, known for her advocacy in education, the arts, and children's causes.
|
E690159
|
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: Ann Scott | Statement: [Rick Scott, spouse, Ann Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Scott Context triple: [Rick Scott, spouse, Ann Scott]
-
A.
April Blair
April Blair is an American television writer and producer best known for developing and executive producing the drama series "All American."
-
B.
Patricia Scott
Patricia Scott was the first wife of acclaimed film and theater director Mike Nichols.
-
C.
Elizabeth Wilson
Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
-
D.
Ann Marshall
Ann Marshall is known primarily as the daughter of Thomas Marshall.
-
E.
Ann Morgan Guilbert
Ann Morgan Guilbert was an American actress best known for her comedic television roles, including memorable parts on series like The Dick Van Dyke Show and The Nanny.
- 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: Ann Scott Triple: [Rick Scott, spouse, Ann Scott]
Generated description
Ann Scott is an American philanthropist and former First Lady of Florida, known for her advocacy in education, the arts, and children's causes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ann Scott Target entity description: Ann Scott is an American philanthropist and former First Lady of Florida, known for her advocacy in education, the arts, and children's causes.
-
A.
April Blair
April Blair is an American television writer and producer best known for developing and executive producing the drama series "All American."
-
B.
Patricia Scott
Patricia Scott was the first wife of acclaimed film and theater director Mike Nichols.
-
C.
Elizabeth Wilson
Elizabeth Wilson was an American actress known for her versatile character roles on stage, film, and television, including performances in "The Graduate" and "9 to 5."
-
D.
Ann Marshall
Ann Marshall is known primarily as the daughter of Thomas Marshall.
-
E.
Ann Morgan Guilbert
Ann Morgan Guilbert was an American actress best known for her comedic television roles, including memorable parts on series like The Dick Van Dyke Show and The Nanny.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d228208190ba05eeb7707482fe |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c91f3e6cec8190ad66e8f4feb6b911 |
completed | March 29, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_69c9206a41388190a40a5bf39ab50e0d |
completed | March 29, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c920bcd7a0819096bcc4cb36e6c4f3 |
completed | March 29, 2026, 12:53 p.m. |
Created at: March 22, 2026, 4:42 p.m.