Triple
T26697951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Wirtz |
E673075
|
entity |
| Predicate | basedInThroughTeam |
P19122
|
FINISHED |
| Object | Chicago, Illinois |
—
|
NE NERFINISHED |
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: Chicago, Illinois | Statement: [Danny Wirtz, basedInThroughTeam, Chicago, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInThroughTeam Context triple: [Danny Wirtz, basedInThroughTeam, Chicago, Illinois]
-
A.
teamBasedOn
Indicates that one entity (typically a team) is formed, organized, or defined on the basis of another entity (such as a criterion, source, or underlying structure).
-
B.
memberTeam
chosen
Indicates that an entity belongs to or is part of a specific team.
-
C.
teamOwnedBasedIn
Indicates that a team is owned by a particular entity and is based (located or headquartered) in a specific place.
-
D.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
E.
associatedTeamName
Indicates the name of the team that is linked or connected to a given 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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 27, 2026, 3:29 a.m.