Triple
T17497531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Mint American Women Quarters Program |
E426102
|
entity |
| Predicate | honoreeEligibility |
P127679
|
FINISHED |
| Object | deceased individuals only |
—
|
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: deceased individuals only | Statement: [U.S. Mint American Women Quarters Program, honoreeEligibility, deceased individuals only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoreeEligibility Context triple: [U.S. Mint American Women Quarters Program, honoreeEligibility, deceased individuals only]
-
A.
honoraryAwardsEligibleFor
Indicates that an entity qualifies to receive one or more honorary awards.
-
B.
honoreeRole
Indicates the specific role, title, or capacity in which an individual is being honored in relation to an award, event, or recognition.
-
C.
honoreeHallOfFame
Indicates that an entity is recognized as an inductee or honoree in a particular Hall of Fame.
-
D.
honoreeKnownFor
Indicates that an honoree is recognized or celebrated specifically for a particular work, achievement, contribution, or notable attribute.
-
E.
hasNotableHonoree
Indicates that an entity is notably dedicated to, named after, or honors a particular person or group.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4520f6790819092c36e0e4ecc4cd3 |
completed | April 19, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.