Triple
T14526027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green, Green Grass of Home |
E340778
|
entity |
| Predicate | madeFamousInDecade |
P114606
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Green, Green Grass of Home, madeFamousInDecade, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeFamousInDecade Context triple: [Green, Green Grass of Home, madeFamousInDecade, 1960s]
-
A.
wasMostPopularInDecade
Indicates that something held the highest level of popularity among comparable items during a specified decade.
-
B.
associatedDecadeInPopCulture
Indicates the decade in popular culture with which an entity is most closely linked or commonly recognized.
-
C.
endedInDecade
Indicates that an event, process, or state concluded during a specified decade.
-
D.
emergedInDecade
Indicates that something first appeared, originated, or came into prominence during a specified decade.
-
E.
starMadeFamous
Indicates that one entity (such as a work, event, or role) is what caused another entity (typically a person) to become widely known or famous.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea050781881909ed685d94479bf99 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb5ac548190932f238e37271741 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:22 a.m.