Triple
T31741208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rape of Ammu |
E810144
|
entity |
| Predicate | orderInPlot |
P178631
|
FINISHED |
| Object | climactic incident |
—
|
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: climactic incident | Statement: [Rape of Ammu, orderInPlot, climactic incident]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderInPlot Context triple: [Rape of Ammu, orderInPlot, climactic incident]
-
A.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
B.
depictsOrder
Indicates that one entity visually represents or portrays the sequence or arrangement of another entity or set of entities.
-
C.
placedInOrderBy
Indicates that one entity was arranged or positioned according to a sequence or priority determined by another entity.
-
D.
orderInText
Indicates that one textual element appears before another in the sequence or structure of a text.
-
E.
compositionOrder
Indicates the sequence in which components or elements are combined or arranged to form a whole.
- 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 30, 2026, 11:25 p.m.