Triple
T10225967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sailor Gene Gardner |
E243203
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object |
Dave Gardner
Dave Gardner is the son of Sailor Gene Gardner and a member of the Gardner family.
|
E852832
|
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: Dave Gardner | Statement: [Sailor Gene Gardner, father, Dave Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Gardner Context triple: [Sailor Gene Gardner, father, Dave Gardner]
-
A.
Dave Gardner
Dave Gardner is a British sports agent and businessman known for his high-profile connections in the football world and relationships with celebrities.
-
B.
Tim Gardner
Tim Gardner is a neuroscientist and entrepreneur known for co-founding Neuralink, a company developing advanced brain–computer interface technology.
-
C.
Jimmy Gardner
Jimmy Gardner was an early 20th-century Canadian ice hockey player, coach, and executive who played a key role in organizing professional hockey and shaping the sport’s development in North America.
-
D.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
E.
Doug Gardner
Doug Gardner is a fictional character known as the father of Samuel Gardner in the Netflix series "Atypical."
- 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: Dave Gardner Triple: [Sailor Gene Gardner, father, Dave Gardner]
Generated description
Dave Gardner is the son of Sailor Gene Gardner and a member of the Gardner family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Gardner Target entity description: Dave Gardner is the son of Sailor Gene Gardner and a member of the Gardner family.
-
A.
Dave Gardner
Dave Gardner is a British sports agent and businessman known for his high-profile connections in the football world and relationships with celebrities.
-
B.
Tim Gardner
Tim Gardner is a neuroscientist and entrepreneur known for co-founding Neuralink, a company developing advanced brain–computer interface technology.
-
C.
Jimmy Gardner
Jimmy Gardner was an early 20th-century Canadian ice hockey player, coach, and executive who played a key role in organizing professional hockey and shaping the sport’s development in North America.
-
D.
Mark Gardner
Mark Gardner is a name shared by several notable individuals, including a former Major League Baseball pitcher and a professional ice hockey coach.
-
E.
Doug Gardner
Doug Gardner is a fictional character known as the father of Samuel Gardner in the Netflix series "Atypical."
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f715bea881909da9d0749fa6420f |
completed | April 9, 2026, 12:47 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: April 6, 2026, 11:17 a.m.