Triple
T29640751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muskrat Love |
E755853
|
entity |
| Predicate | AmericaVersionReleaseYear |
P94204
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Muskrat Love, AmericaVersionReleaseYear, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AmericaVersionReleaseYear Context triple: [Muskrat Love, AmericaVersionReleaseYear, 1973]
-
A.
usReleaseYear
chosen
Indicates the calendar year in which something was released in the United States.
-
B.
ARVersionAnnouncementYear
Indicates the year in which a specific version of an augmented reality (AR) product or system was officially announced.
-
C.
usReleaseDate
Indicates the date on which something is released or made publicly available in the United States.
-
D.
mobileReleaseYear
Indicates the calendar year in which a mobile device or mobile application was released.
-
E.
bestKnownVersionReleaseYear
Indicates the calendar year in which the most widely recognized or prominent version of something was released.
- 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_69f0ef89d2c88190a6d0d5116ccd7cc9 |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f66ecece888190a653f1b981493834 |
completed | May 2, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69f6659d36208190b01412600a4ed57d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 6:46 p.m.