Triple
T4529438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Detroit Red |
E106258
|
entity |
| Predicate | occupationDuringAlias |
P57269
|
FINISHED |
| Object | shoeshine boy |
—
|
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: shoeshine boy | Statement: [Detroit Red, occupationDuringAlias, shoeshine boy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationDuringAlias Context triple: [Detroit Red, occupationDuringAlias, shoeshine boy]
-
A.
subjectOccupation
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
B.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
C.
occupationalNameFor
Indicates that one entity is the name or label used to denote the occupation or profession of another entity.
-
D.
earlierOccupation
Indicates that one occupation held by an entity occurred before another occupation in that entity’s work history.
-
E.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd5779593081908593537b9239e01b |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:03 p.m.