Triple
T2399630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Childish Bambino |
E47735
|
entity |
| Predicate | refersToEraOfCareer |
P37944
|
FINISHED |
| Object | Juan Soto’s early MLB years |
—
|
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: Juan Soto’s early MLB years | Statement: [Childish Bambino, refersToEraOfCareer, Juan Soto’s early MLB years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToEraOfCareer Context triple: [Childish Bambino, refersToEraOfCareer, Juan Soto’s early MLB years]
-
A.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
-
B.
endedEra
Indicates that one entity brought about or marked the conclusion of a particular era associated with another entity.
-
C.
notableEraNickname
Indicates the informal or popular nickname by which a particular historical era or period is commonly known.
-
D.
positionInEra
Indicates the temporal placement or role of something within a specific historical or chronological era.
-
E.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8c95d8c819088e4bb4fb32452ae |
completed | March 7, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc664317c8190a6bb5a5065c21bde |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.