Triple
T34027467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamal Jeffries |
E872548
|
entity |
| Predicate | developsRespectFor |
P192320
|
FINISHED |
| Object | women basketball players |
—
|
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: women basketball players | Statement: [Jamal Jeffries, developsRespectFor, women basketball players]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developsRespectFor Context triple: [Jamal Jeffries, developsRespectFor, women basketball players]
-
A.
respectedAs
Indicates that one entity regards another with esteem or honor, recognizing their value, status, or authority.
-
B.
deviatesToRespect
Indicates that an entity intentionally diverges from a norm, rule, or expected course of action in order to show consideration, honor, or deference to another entity.
-
C.
mustRespect
Indicates that one entity is obligated to show respect or deference toward another entity.
-
D.
veneratedFor
Indicates that one entity is highly respected, honored, or revered because of a particular quality, achievement, or characteristic of another entity.
-
E.
honour
Indicates showing respect, admiration, or recognition toward someone or something, often through actions, words, or ceremonial acknowledgment.
- 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_69f349a2527c81909a7cd4bda94d70ad |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: May 1, 2026, 1:51 a.m.