Triple
T15017734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Closing Time |
E377998
|
entity |
| Predicate | containsCliffhanger |
P116412
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Closing Time, containsCliffhanger, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsCliffhanger Context triple: [Closing Time, containsCliffhanger, yes]
-
A.
isCliffhangerFor
Indicates that one event, scene, or narrative element ends in suspense and serves as a cliffhanger leading into another.
-
B.
hasCliff
Indicates that something possesses or features a steep, high rock face or abrupt vertical drop as part of its structure or environment.
-
C.
hasCliffs
Indicates that something possesses or is characterized by the presence of cliffs.
-
D.
hasClimaxAt
Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
-
E.
hasCliffsOn
Indicates that one entity possesses or features cliffs located along or on the surface of another entity.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7633fcc8190b2231f43252bc46f |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:55 a.m.