Triple
T27061432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Brown |
E685052
|
entity |
| Predicate | fictionalTeamManaged |
P174343
|
FINISHED |
| Object | Cleveland Indians |
—
|
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: Cleveland Indians | Statement: [Lou Brown, fictionalTeamManaged, Cleveland Indians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalTeamManaged Context triple: [Lou Brown, fictionalTeamManaged, Cleveland Indians]
-
A.
fictionalTeam
Indicates that the related entities are members of, or otherwise associated with, the same fictional team within a narrative or imaginary context.
-
B.
teamManagedBy
Indicates that a particular team is under the management or supervision of a specified manager or managing entity.
-
C.
formerSportsTeam
Indicates that an entity was once a member of or played for a particular sports team in the past but no longer does so.
-
D.
NationalLeagueManagerTeam
Indicates that a person serves as the manager (head coach) of a specific team in the National League.
-
E.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
- F. None of above. chosen
Provenance (4 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6c20f209081909fb9ac8f95069f04 |
completed | May 3, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c125695c81909704c67bef4ce5b2 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 27, 2026, 8:22 a.m.