Triple
T37856492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jon Busch |
E944204
|
entity |
| Predicate | isKnownAsOneOf |
P2523
|
FINISHED |
| Object | top shot-stoppers in Major League Soccer |
—
|
LITERAL FINISHED |
How this triple was built (2 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: top shot-stoppers in Major League Soccer | Statement: [Jon Busch, isKnownAsOneOf, top shot-stoppers in Major League Soccer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKnownAsOneOf Context triple: [Jon Busch, isKnownAsOneOf, top shot-stoppers in Major League Soccer]
-
A.
knownAsOneOf
Indicates that an entity is recognized or referred to as one member of a specified set of alternative names, labels, or identities.
-
B.
isPartlyKnownAs
Indicates that an entity is known by a particular name or label in some, but not all, contexts or sources.
-
C.
knowsAs
Indicates that one entity recognizes or refers to another entity by a particular name, alias, or identifier.
-
D.
isOneOf
chosen
Indicates that an entity belongs to a specified set or list of possible values.
-
E.
isLesserKnownMemberOf
Indicates that one entity is a relatively obscure or less prominent member within a group, organization, or collection represented by another entity.
- F. None of above.
Provenance (3 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.