Triple
T5202510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Knights |
E117425
|
entity |
| Predicate | partOfWorkStructure |
P62462
|
FINISHED |
| Object | climactic assassination 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: climactic assassination scene | Statement: [Three Knights, partOfWorkStructure, climactic assassination scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfWorkStructure Context triple: [Three Knights, partOfWorkStructure, climactic assassination scene]
-
A.
partOfWorkType
Indicates that something is a component, subtype, or specific category within a broader type of work.
-
B.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
-
C.
divisionOrStructure
Indicates a relationship where one entity is an internal division, department, or structural subunit that is organizationally contained within another entity.
-
D.
subunitOf
Indicates that one entity functions as a component or smaller part within the structure or organization of another, larger entity.
-
E.
workStructure
Indicates how work is organized, arranged, or structured within or between entities.
- 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_69bd4463dd3c81909966123f20b79d57 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7adb034c819086bf8a85fbf158f4 |
completed | March 20, 2026, 4:50 p.m. |
| PD | Predicate disambiguation | batch_69bd77b9a67c8190819612257ea746b4 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7ad9bdd88190ae8aa6f4aba695a7 |
completed | March 20, 2026, 4:50 p.m. |
Created at: March 20, 2026, 1:47 p.m.