Triple
T27259200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moondram Pirai |
E687709
|
entity |
| Predicate | hasFamousClimax |
P136284
|
FINISHED |
| Object | railway station farewell scene |
—
|
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: railway station farewell scene | Statement: [Moondram Pirai, hasFamousClimax, railway station farewell scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamousClimax Context triple: [Moondram Pirai, hasFamousClimax, railway station farewell scene]
-
A.
hasClimaxAt
Indicates that an event, narrative, or process reaches its most intense or decisive point at a specified time, place, or segment.
-
B.
typeOfClimax
Indicates the specific kind or category of climax that characterizes an event, narrative, or process.
-
C.
climacticAct
chosen
Indicates the pivotal or most intense action or event that serves as the climax within a sequence or narrative.
-
D.
climaxEvents
Indicates that the related events represent the peak or most intense turning point within a larger sequence or narrative.
-
E.
hasFinale
Indicates that one entity serves as the concluding or final part (such as an ending segment, episode, or event) of 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 27, 2026, 10:51 a.m.