Triple
T2116950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bridges of Madison County |
E43829
|
entity |
| Predicate | laterTimeFrameDepicted |
P30546
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [The Bridges of Madison County, laterTimeFrameDepicted, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterTimeFrameDepicted Context triple: [The Bridges of Madison County, laterTimeFrameDepicted, 1980s]
-
A.
tookPlaceAfter
Indicates that one event or occurrence happened later in time than another event or occurrence.
-
B.
depictionOfTime
chosen
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
C.
laterPerception
Indicates that one entity’s perception, awareness, or observation of something occurs after another specified time, event, or perception.
-
D.
timescale
Indicates the temporal scale or duration over which a process, relationship, or effect occurs or is evaluated.
-
E.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
- 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_69a88717cfe48190b7ecdd68c824848a |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbb2f6f608190937889bb393fe7c6 |
completed | March 7, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69abb7bbf9d881909d223b0cab7cab18 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.