Triple
T3932893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Love |
E90835
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Stan Love
Stan Love is a former American professional basketball player who played in the NBA during the 1970s.
|
E399611
|
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: Stan Love | Statement: [Kevin Love, relative, Stan Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stan Love Context triple: [Kevin Love, relative, Stan Love]
-
A.
Doug Laird
Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
-
B.
David Loughery
David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
-
C.
Kirk Wise
Kirk Wise is an American film director, screenwriter, and animator best known for co-directing acclaimed Disney animated features such as "Beauty and the Beast" and "The Hunchback of Notre Dame."
-
D.
Jim Reardon
Jim Reardon is an American animation writer and director best known for his work on The Simpsons and for co-writing the screenplay for Disney’s Zootopia.
-
E.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
- 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: Stan Love Triple: [Kevin Love, relative, Stan Love]
Generated description
Stan Love is a former American professional basketball player who played in the NBA during the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stan Love Target entity description: Stan Love is a former American professional basketball player who played in the NBA during the 1970s.
-
A.
Doug Laird
Doug Laird is a technology entrepreneur best known as one of the founders of the innovative microprocessor company Transmeta.
-
B.
David Loughery
David Loughery is an American screenwriter and producer known for writing thrillers and genre films such as "Passenger 57," "Lakeview Terrace," and "Obsessed."
-
C.
Kirk Wise
Kirk Wise is an American film director, screenwriter, and animator best known for co-directing acclaimed Disney animated features such as "Beauty and the Beast" and "The Hunchback of Notre Dame."
-
D.
Jim Reardon
Jim Reardon is an American animation writer and director best known for his work on The Simpsons and for co-writing the screenplay for Disney’s Zootopia.
-
E.
Ed Vargo
Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedaaf3c881909539831bf3a8bf10 |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52887d4a48190b51df3f51ff197c0 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b529a1486881908ff348558199232b |
completed | March 14, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52a43c6f081908366d9848728f98a |
completed | March 14, 2026, 9:28 a.m. |
Created at: March 9, 2026, 3:23 p.m.