Triple
T22148972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Little Fall of Rain |
E547363
|
entity |
| Predicate | chronologicalContextInShow |
P89854
|
FINISHED |
| Object | occurs during the barricade scenes |
—
|
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: occurs during the barricade scenes | Statement: [A Little Fall of Rain, chronologicalContextInShow, occurs during the barricade scenes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalContextInShow Context triple: [A Little Fall of Rain, chronologicalContextInShow, occurs during the barricade scenes]
-
A.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
-
B.
chronologicalPoint
chosen
Indicates that something is associated with, occurs at, or is anchored to a specific point in time within a chronological sequence.
-
C.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
D.
chronologicalSignificance
Indicates that one entity holds importance or relevance specifically due to its position, order, or timing within a chronological sequence relative to another.
-
E.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
- 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f2c0e881909c3488bb5eb5959d |
completed | April 28, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:33 p.m.