Triple
T15400086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President Lanford |
E368288
|
entity |
| Predicate | chronologicalPlacementInSeries |
P6115
|
FINISHED |
| Object | set 20 years after original Independence Day events |
—
|
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: set 20 years after original Independence Day events | Statement: [President Lanford, chronologicalPlacementInSeries, set 20 years after original Independence Day events]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalPlacementInSeries Context triple: [President Lanford, chronologicalPlacementInSeries, set 20 years after original Independence Day events]
-
A.
chronologicalOrderInSeries
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
B.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
C.
placeInSeries
chosen
Indicates the position or order that something occupies within a sequence or series.
-
D.
significantPlaceInSeries
Indicates that a place plays an important or notable role within the context of a particular series.
-
E.
chronologicallyOrdered
Indicates that the related entities are arranged in the order in which they occur in time.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8d89e08190b7cae778d89fb5e1 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.