Triple
T32641470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vital |
E834488
|
entity |
| Predicate | hasCadaverDissection |
P184621
|
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: [Vital, hasCadaverDissection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCadaverDissection Context triple: [Vital, hasCadaverDissection, true]
-
A.
canBeDissectedBy
Indicates that one entity is capable of being divided or analyzed into parts by another entity or method.
-
B.
hasCauseOfDeathInvestigation
Indicates that an entity is the subject of an official investigation into the circumstances or cause of its death.
-
C.
hasMannerOfDeath
Indicates the specific way or circumstances in which an entity died, such as natural causes, accident, homicide, or suicide.
-
D.
hasPhysicalRemains
Indicates that an entity possesses or is associated with tangible, material remains or physical evidence of its existence.
-
E.
hasExamination
chosen
Indicates that an entity is associated with, or undergoes, a specific examination or test.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: May 1, 2026, 1:07 a.m.