Triple
T28992626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calvin Ridley |
E736066
|
entity |
| Predicate | siblingProfession |
P13234
|
FINISHED |
| Object | Riley Ridley is also an American football wide receiver |
—
|
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: Riley Ridley is also an American football wide receiver | Statement: [Calvin Ridley, siblingProfession, Riley Ridley is also an American football wide receiver]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: siblingProfession Context triple: [Calvin Ridley, siblingProfession, Riley Ridley is also an American football wide receiver]
-
A.
siblingOccupation
chosen
Indicates that one person has a sibling whose job or profession is the specified occupation.
-
B.
knownRelativesOccupation
Indicates that there is information about the occupations held by one or more relatives of a given person.
-
C.
familyProfession
Indicates that a person’s profession is shared with or traditionally practiced within their family, reflecting an occupational lineage or family trade.
-
D.
hasChildInSameProfession
Indicates that an individual has at least one child whose profession is the same as their own.
-
E.
sibling
Indicates that two entities share at least one parent, making them brothers or sisters to each other.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7dfa3481909a6775b0cef703b3 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:27 a.m.