Triple
T10378495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzanne Zimmer |
E244569
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Jake Zimmer
Jake Zimmer is the child of Suzanne Zimmer.
|
E859801
|
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: Jake Zimmer | Statement: [Suzanne Zimmer, hasChild, Jake Zimmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Zimmer Context triple: [Suzanne Zimmer, hasChild, Jake Zimmer]
-
A.
Randy Wigginton
Randy Wigginton is an early Apple employee and software engineer best known for his foundational work on the Apple II and as a core contributor to the original Macintosh project.
-
B.
Ben Swanson
Ben Swanson is a music industry professional best known as a co-founder of the independent record label Dead Oceans, part of the Secretly Group family of labels.
-
C.
Kenny Olson
Kenny Olson is an American rock guitarist best known for his work with Kid Rock as a member of the backing band Twisted Brown Trucker.
-
D.
Andrew Knizner
Andrew Knizner is an American professional baseball catcher who has played in Major League Baseball, notably for the St. Louis Cardinals.
-
E.
Brett Hedblom
Brett Hedblom is a television producer best known for his executive production work on the Netflix drama series "Maid."
- 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: Jake Zimmer Triple: [Suzanne Zimmer, hasChild, Jake Zimmer]
Generated description
Jake Zimmer is the child of Suzanne Zimmer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jake Zimmer Target entity description: Jake Zimmer is the child of Suzanne Zimmer.
-
A.
Randy Wigginton
Randy Wigginton is an early Apple employee and software engineer best known for his foundational work on the Apple II and as a core contributor to the original Macintosh project.
-
B.
Ben Swanson
Ben Swanson is a music industry professional best known as a co-founder of the independent record label Dead Oceans, part of the Secretly Group family of labels.
-
C.
Kenny Olson
Kenny Olson is an American rock guitarist best known for his work with Kid Rock as a member of the backing band Twisted Brown Trucker.
-
D.
Andrew Knizner
Andrew Knizner is an American professional baseball catcher who has played in Major League Baseball, notably for the St. Louis Cardinals.
-
E.
Brett Hedblom
Brett Hedblom is a television producer best known for his executive production work on the Netflix drama series "Maid."
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e98fead88190ace49f34b8a27c25 |
completed | April 7, 2026, 11:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7957e52108190a8d262b30a7d2780 |
completed | April 9, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69d798e3dba08190911fc9fec5d2c8e2 |
completed | April 9, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d79a6086fc8190ab8454a216dfda8c |
completed | April 9, 2026, 12:24 p.m. |
Created at: April 6, 2026, 12:03 p.m.