Triple
T33465646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michigan J. Frog |
E857033
|
entity |
| Predicate | settingOfDebut |
P77495
|
FINISHED |
| Object | American city in the late 19th to early 20th century |
—
|
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: American city in the late 19th to early 20th century | Statement: [Michigan J. Frog, settingOfDebut, American city in the late 19th to early 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfDebut Context triple: [Michigan J. Frog, settingOfDebut, American city in the late 19th to early 20th century]
-
A.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
-
B.
madeDebutAtAge
Indicates the age at which an entity first appeared, performed, or participated in a particular field, event, or activity.
-
C.
timePeriodOfDebut
Indicates the time period during which an entity first appeared, was introduced, or made its debut.
-
D.
settingOfFirstAppearance
chosen
Indicates the location or context in which an entity is first introduced or appears.
-
E.
wonOnDebut
Indicates that an entity achieved victory in its first appearance or initial participation in a particular context or event.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 1:37 a.m.