Triple
T37617406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Parks Congressional Gold Medal Act |
E935961
|
entity |
| Predicate | medalRecipient |
P179435
|
FINISHED |
| Object | Rosa Parks |
—
|
NE NERFINISHED |
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: Rosa Parks | Statement: [Rosa Parks Congressional Gold Medal Act, medalRecipient, Rosa Parks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalRecipient Context triple: [Rosa Parks Congressional Gold Medal Act, medalRecipient, Rosa Parks]
-
A.
medalAwardedToWinner
Indicates that a medal is given to the entity that has won a competition or contest.
-
B.
medalIssued
chosen
Indicates that a medal has been formally awarded or granted to an entity, typically in recognition of an achievement or service.
-
C.
goldMedalist
Indicates that the subject is the winner of a first-place gold medal in a competition or event.
-
D.
typeOfMedalist
Indicates the specific category or rank of medal (e.g., gold, silver, bronze) associated with a given medalist.
-
E.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.