Triple
T3187659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Thomson |
E66738
|
entity |
| Predicate | roleWithYankees |
P13665
|
FINISHED |
| Object | coach |
—
|
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: coach | Statement: [Rob Thomson, roleWithYankees, coach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithYankees Context triple: [Rob Thomson, roleWithYankees, coach]
-
A.
BabeRuthRole
Indicates that an entity holds the specific role or position associated with Babe Ruth (e.g., as a legendary baseball player or cultural figure) in relation to another entity.
-
B.
relationshipToMLB
Indicates the nature or type of connection an entity has to Major League Baseball (MLB), such as affiliation, role, or involvement.
-
C.
babeRuthRole
Indicates that one entity serves in the specific role or capacity associated with Babe Ruth (e.g., as a legendary baseball player or iconic sports figure) in relation to another entity.
-
D.
roleInBaseballHistory
Indicates the specific part or contribution an entity has within the broader narrative or development of baseball history.
-
E.
roleAtSportsTeam
chosen
Indicates the specific position or function an individual holds within a sports team.
- 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_69ad8587c1bc8190a2595f2c22ee1001 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada6e279288190843837751e852c9e |
completed | March 8, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69ad9e04290481909092ddfbe6fdaabc |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:06 p.m.