Triple
T14349187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Clairmont |
E355805
|
entity |
| Predicate | bloodRageStatus |
P113886
|
FINISHED |
| Object | carrier of blood rage |
—
|
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: carrier of blood rage | Statement: [Matthew Clairmont, bloodRageStatus, carrier of blood rage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bloodRageStatus Context triple: [Matthew Clairmont, bloodRageStatus, carrier of blood rage]
-
A.
bloodStatus
Indicates the classification of an entity based on the type or purity of its blood or lineage.
-
B.
bloodStatusTargetOfPrejudice
Indicates that an entity is the target of prejudice or discrimination specifically because of its blood status.
-
C.
bloodlust
Indicates an intense, often uncontrollable desire to shed blood or commit violent harm.
-
D.
isBurning
Indicates that an entity is currently on fire or undergoing combustion.
-
E.
statusAfterAttack
Indicates the resulting condition or state of an entity after an attack has occurred.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8d081c8190ac805726a3e98f4c |
completed | April 14, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69de2a9958e881909d03ac03f135163e |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e8a40e4819080240c874da1842c |
completed | April 14, 2026, 12:09 p.m. |
Created at: April 10, 2026, 1:14 a.m.