Triple
T5058469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cain |
E113963
|
entity |
| Predicate | firstMurderer |
P871
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cain, firstMurderer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMurderer Context triple: [Cain, firstMurderer, true]
-
A.
murderVictimOf
Indicates that one entity is the person who was killed by another entity in an act of murder.
-
B.
firstMystery
Indicates that something is the earliest or initial instance within a set whose nature or details are unknown or unspecified.
-
C.
firstAccused
chosen
Indicates that the subject is the primary or earliest individual formally charged or blamed in a particular case or incident.
-
D.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
E.
firstMysteryName
Indicates that the referenced name is the first in a sequence or set of unknown or unspecified names associated with an entity or context.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74523434819092b8b15992073b5b |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.