Triple
T27186051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Taylor |
E683333
|
entity |
| Predicate | sequelRole |
P138651
|
FINISHED |
| Object | Cleveland Indians manager in Major League II |
—
|
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: Cleveland Indians manager in Major League II | Statement: [Jake Taylor, sequelRole, Cleveland Indians manager in Major League II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequelRole Context triple: [Jake Taylor, sequelRole, Cleveland Indians manager in Major League II]
-
A.
sequelPerformer
Indicates that a performer participates in a work that is a sequel to a previous work.
-
B.
subsequentRole
chosen
Indicates that one role or position is held after, and in succession to, another role or position.
-
C.
sequelCoAuthor
Indicates that an entity is a co-author of a sequel work related to another entity.
-
D.
sequelWorkType
Indicates that the related work is a sequel and specifies the type or category of that sequel relationship between the works.
-
E.
sequelDirected
Indicates that one work is a sequel to another and was directed by the same director or a specific director associated with that sequel relationship.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62580d96c8190a958383f732a5b90 |
completed | May 2, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:30 a.m.