Triple
T5292821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remember Me |
E119780
|
entity |
| Predicate | hasSuspenseElements |
P63357
|
FINISHED |
| Object | psychological tension |
—
|
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: psychological tension | Statement: [Remember Me, hasSuspenseElements, psychological tension]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuspenseElements Context triple: [Remember Me, hasSuspenseElements, psychological tension]
-
A.
hasFiber
Indicates that one entity contains, includes, or is characterized by a certain amount or type of fiber.
-
B.
hasFiberContent
Indicates that one entity contains a specified amount or level of dietary fiber.
-
C.
hasFragments
Indicates that an entity is composed of, contains, or is associated with one or more smaller constituent parts or pieces.
-
D.
hasHook
Indicates that one entity possesses, is equipped with, or features a hook in relation to another entity or context.
-
E.
hasExhibitElement
Indicates that something (such as an exhibit or display) includes or is composed of a particular element or component.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8682d18c8190bbb35cc75c8a7c12 |
completed | March 20, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69bd844dfdac819086efedd1cbebff84 |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd86800630819096dad2eb2248c372 |
completed | March 20, 2026, 5:40 p.m. |
Created at: March 20, 2026, 1:52 p.m.