Triple
T8504063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerald Gardner |
E201289
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Donna Gardner
Donna Gardner is known as the spouse of Gerald Gardner.
|
E875084
|
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: Donna Gardner | Statement: [Gerald Gardner, spouse, Donna Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donna Gardner Context triple: [Gerald Gardner, spouse, Donna Gardner]
-
A.
Donna Anderson
Donna Anderson is an American actress best known for her role in the 1960 courtroom drama film "Inherit the Wind."
-
B.
Donna Deegan
Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
-
C.
Donna Norris
Donna Norris is best known as the mother of Amber Hagerman, whose 1996 abduction and murder led to the creation of the AMBER Alert child abduction emergency response system.
-
D.
Gail Dwyer
Gail Dwyer is a central comedic character in the 1995 romantic comedy film "Nine Months," portrayed as the pregnant partner whose unexpected news upends her boyfriend's carefree life.
-
E.
Gail Gregg
Gail Gregg is an American artist and journalist known for her work in visual arts and for her connection to the prominent Sulzberger publishing family.
- 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: Donna Gardner Triple: [Gerald Gardner, spouse, Donna Gardner]
Generated description
Donna Gardner is known as the spouse of Gerald Gardner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donna Gardner Target entity description: Donna Gardner is known as the spouse of Gerald Gardner.
-
A.
Donna Anderson
Donna Anderson is an American actress best known for her role in the 1960 courtroom drama film "Inherit the Wind."
-
B.
Donna Deegan
Donna Deegan is an American politician, former television news anchor, and founder of a breast cancer charity who serves as the mayor of Jacksonville, Florida.
-
C.
Donna Norris
Donna Norris is best known as the mother of Amber Hagerman, whose 1996 abduction and murder led to the creation of the AMBER Alert child abduction emergency response system.
-
D.
Gail Dwyer
Gail Dwyer is a central comedic character in the 1995 romantic comedy film "Nine Months," portrayed as the pregnant partner whose unexpected news upends her boyfriend's carefree life.
-
E.
Gail Gregg
Gail Gregg is an American artist and journalist known for her work in visual arts and for her connection to the prominent Sulzberger publishing family.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe59d67d081908155a43b9b463fe3 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96af89e48819093a6c149ac988391 |
completed | April 10, 2026, 9:26 p.m. |
| NEDg | Description generation | batch_69d96d85f9648190a43c8c924f5139e3 |
completed | April 10, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96e1a36688190b97ced745bc6a30d |
completed | April 10, 2026, 9:39 p.m. |
Created at: March 30, 2026, 6:14 p.m.