Triple
T25597654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Wyoming v. Aaron McKinney |
E641696
|
entity |
| Predicate | victimAgeAtDeath |
P37512
|
FINISHED |
| Object | 21 |
—
|
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: 21 | Statement: [State of Wyoming v. Aaron McKinney, victimAgeAtDeath, 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimAgeAtDeath Context triple: [State of Wyoming v. Aaron McKinney, victimAgeAtDeath, 21]
-
A.
victimAge
Indicates the age of the person who is the victim in the described event or situation.
-
B.
approximateAgeAtDeath
Indicates the estimated age a person or entity was when they died, typically used when the exact age is unknown.
-
C.
deathAge
chosen
Indicates the age at which an entity dies or is expected to die.
-
D.
ageOfYoungestVictims
Indicates the age of the youngest individuals who were harmed or targeted in an incident or event.
-
E.
oldestVictimAge
Indicates the age of the oldest individual among the victims involved in the event or situation.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 4:28 p.m.