Triple
T18354404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey, Just Allow Me One More Chance |
E439751
|
entity |
| Predicate | adaptedFromDecade |
P130779
|
FINISHED |
| Object | 1930s |
—
|
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: 1930s | Statement: [Honey, Just Allow Me One More Chance, adaptedFromDecade, 1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adaptedFromDecade Context triple: [Honey, Just Allow Me One More Chance, adaptedFromDecade, 1930s]
-
A.
adoptedInDecade
Indicates that an entity was adopted or formally taken up during a specific ten-year time period (decade).
-
B.
builtInDecade
Indicates that a structure or object was constructed during a specific decade.
-
C.
redevelopedInDecade
Indicates that an entity was redeveloped during a specified decade.
-
D.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
-
E.
influencedDecade
Indicates that one entity had a significant impact on shaping or affecting the events, trends, or characteristics of a specified decade.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d458148190849ed28fa90eb92b |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:37 a.m.