Triple
T35918071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Presidential $1 Coin Program |
E1038799
|
entity |
| Predicate | firstCoinHonoree |
P75580
|
FINISHED |
| Object | George Washington |
E708
|
NE 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: George Washington | Statement: [Presidential $1 Coin Program, firstCoinHonoree, George Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCoinHonoree Context triple: [Presidential $1 Coin Program, firstCoinHonoree, George Washington]
-
A.
firstInscribedBy
Indicates that an object (such as a text, symbol, or inscription) was originally inscribed or written for the first time by a particular agent.
-
B.
firstAnnouncedBy
Indicates that one entity is the original source or originator that publicly disclosed, reported, or made known another entity or item for the first time.
-
C.
firstClassAwardedTo
Indicates that a first-class distinction, honor, or top-level award is given to a particular recipient.
-
D.
pioneerOf
Indicates that an entity was among the first to develop, introduce, or significantly advance another entity, concept, or practice.
-
E.
honorsPerson
chosen
Indicates that one entity formally recognizes, respects, or pays tribute to a specific person.
- F. None of above.
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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38ae3392108190b77662fafc54e35a |
completed | June 22, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.