Triple
T13932575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Def Squad (affiliated) |
E335028
|
entity |
| Predicate | roleOfMethodMan |
P112336
|
FINISHED |
| Object | affiliate member |
—
|
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: affiliate member | Statement: [Def Squad (affiliated), roleOfMethodMan, affiliate member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfMethodMan Context triple: [Def Squad (affiliated), roleOfMethodMan, affiliate member]
-
A.
roleInRockyIV
Indicates that one entity is the role or character portrayed by another entity in the movie "Rocky IV".
-
B.
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.
-
C.
typeOfWorkHeIsKnownFor
Indicates the category or kind of work for which a person is recognized or notable.
-
D.
famousRole
Indicates that an entity is best known for portraying or performing a particular role or character.
-
E.
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.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| PD | Predicate disambiguation | batch_69de059e4ba881908554f72e889719fa |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:16 p.m.