Triple
T9430321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grant Tinker |
E227356
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Brooke Knapp
Brooke Knapp is an American aviator and businesswoman known for setting multiple world aviation speed records and for her work in real estate and philanthropy.
|
E801647
|
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: Brooke Knapp | Statement: [Grant Tinker, spouse, Brooke Knapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brooke Knapp Context triple: [Grant Tinker, spouse, Brooke Knapp]
-
A.
Brooke Bowman
Brooke Bowman is an American television executive known for her work in programming and development at major cable networks such as FX and Fox.
-
B.
Brooke Nelson
Brooke Nelson is the child of American businessman and former U.S. Senator Ben Nelson.
-
C.
Brooke Candy
Brooke Candy is an American rapper, singer, and visual artist known for her provocative style, genre-blending music, and bold feminist and sex-positive themes.
-
D.
Brooke Hunter
Brooke Hunter is known as the wife of the late Canadian-American comedic actor Leslie Nielsen.
-
E.
Brooke Nevin
Brooke Nevin is a Canadian actress known for her work in television dramas and films, including prominent roles in series like Breakout Kings.
- 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: Brooke Knapp Triple: [Grant Tinker, spouse, Brooke Knapp]
Generated description
Brooke Knapp is an American aviator and businesswoman known for setting multiple world aviation speed records and for her work in real estate and philanthropy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brooke Knapp Target entity description: Brooke Knapp is an American aviator and businesswoman known for setting multiple world aviation speed records and for her work in real estate and philanthropy.
-
A.
Brooke Bowman
Brooke Bowman is an American television executive known for her work in programming and development at major cable networks such as FX and Fox.
-
B.
Brooke Nelson
Brooke Nelson is the child of American businessman and former U.S. Senator Ben Nelson.
-
C.
Brooke Candy
Brooke Candy is an American rapper, singer, and visual artist known for her provocative style, genre-blending music, and bold feminist and sex-positive themes.
-
D.
Brooke Hunter
Brooke Hunter is known as the wife of the late Canadian-American comedic actor Leslie Nielsen.
-
E.
Brooke Nevin
Brooke Nevin is a Canadian actress known for her work in television dramas and films, including prominent roles in series like Breakout Kings.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12cd623308190ba55223399ee3aa8 |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12d8826248190aff8bf1ca1c15a03 |
completed | April 4, 2026, 3:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12ddbfe988190b639bd16be05f343 |
completed | April 4, 2026, 3:27 p.m. |
Created at: March 30, 2026, 7:49 p.m.