Triple
T38572189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act IV: The tragic resolution at the lake |
E929304
|
entity |
| Predicate | typicalEndingType |
P148521
|
FINISHED |
| Object | tragic ending |
—
|
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: tragic ending | Statement: [Act IV: The tragic resolution at the lake, typicalEndingType, tragic ending]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEndingType Context triple: [Act IV: The tragic resolution at the lake, typicalEndingType, tragic ending]
-
A.
typicalConclusion
Indicates that one entity is the usual or expected outcome, result, or ending that follows from another entity or situation.
-
B.
typicalEndRelation
Indicates that one event, state, or process is the usual or characteristic endpoint or outcome of another.
-
C.
typicalClosing
Indicates that an entity represents a standard or commonly used way of ending or concluding another entity (such as a message, document, or interaction).
-
D.
conclusionType
Indicates the specific kind or category of conclusion associated with an argument, inference, or reasoning process.
-
E.
نوع النهاية
chosen
Indicates the type or nature of an ending or conclusion associated with an entity or event.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:32 p.m.