Triple
T13848587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Kerr |
E332872
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object |
Daniel Kerr
Daniel Kerr is a former Australian rules footballer best known for his career with the West Coast Eagles in the AFL.
|
E1077803
|
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: Daniel Kerr | Statement: [Sam Kerr, hasSibling, Daniel Kerr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Kerr Context triple: [Sam Kerr, hasSibling, Daniel Kerr]
-
A.
Dominic Kinnear
Dominic Kinnear is a Scottish-American soccer coach and former player best known for leading the Houston Dynamo to multiple MLS Cup titles in the mid-2000s.
-
B.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
-
C.
Jason Kingsley
Jason Kingsley is a British entrepreneur and game developer best known as the co-founder and CEO of the video game studio Rebellion Developments.
-
D.
Christopher Henderson
Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
-
E.
Leo Parker
Leo Parker was an American baritone saxophonist known for his work in the bebop and hard bop jazz scenes of the 1940s and 1950s.
- 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: Daniel Kerr Triple: [Sam Kerr, hasSibling, Daniel Kerr]
Generated description
Daniel Kerr is a former Australian rules footballer best known for his career with the West Coast Eagles in the AFL.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Kerr Target entity description: Daniel Kerr is a former Australian rules footballer best known for his career with the West Coast Eagles in the AFL.
-
A.
Dominic Kinnear
Dominic Kinnear is a Scottish-American soccer coach and former player best known for leading the Houston Dynamo to multiple MLS Cup titles in the mid-2000s.
-
B.
Andrew Kelley
Andrew Kelley is a software engineer best known as the creator and lead developer of the Zig programming language.
-
C.
Jason Kingsley
Jason Kingsley is a British entrepreneur and game developer best known as the co-founder and CEO of the video game studio Rebellion Developments.
-
D.
Christopher Henderson
Christopher Henderson is a fictional high-ranking counterterrorism operative and former mentor to Jack Bauer in the television series "24."
-
E.
Leo Parker
Leo Parker was an American baritone saxophonist known for his work in the bebop and hard bop jazz scenes of the 1940s and 1950s.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb648146c8190842a3da4e4c0e217 |
completed | May 7, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_69fcc51bf140819097bb29bbaf766dcc |
completed | May 7, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc61353d481908192a1e2f44e6a94 |
completed | May 7, 2026, 5:04 p.m. |
Created at: April 9, 2026, 10:14 p.m.