Triple
T25870388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnehaha Falls |
E651736
|
entity |
| Predicate | namePopularizedBy |
P4586
|
FINISHED |
| Object | Henry Wadsworth Longfellow |
—
|
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: Henry Wadsworth Longfellow | Statement: [Minnehaha Falls, namePopularizedBy, Henry Wadsworth Longfellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namePopularizedBy Context triple: [Minnehaha Falls, namePopularizedBy, Henry Wadsworth Longfellow]
-
A.
popularizedBy
chosen
Indicates that something became widely known, accepted, or fashionable as a result of the influence or actions of a particular agent.
-
B.
popularName
Indicates that the object is a commonly used or widely recognized name or nickname for the subject.
-
C.
popularizedByWork
Indicates that something became widely known, accepted, or influential as a result of a particular work (such as a book, film, or artwork).
-
D.
songMadeFamousBy
Indicates that a song became widely known or popular primarily through the performance, recording, or promotion of a particular artist or group.
-
E.
namedForKnownFor
Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
- 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_69e7ab3ad9d88190841ddcb93ab02e96 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602db41d08190b3c1b0b7d904b4bc |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 8:11 a.m.