Triple
T27635271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | killing of Philip Barton Key II |
E696452
|
entity |
| Predicate | hasPerpetratorName |
P169769
|
FINISHED |
| Object | Daniel Edgar Sickles |
—
|
NE NERFINISHED |
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: Daniel Edgar Sickles | Statement: [killing of Philip Barton Key II, hasPerpetratorName, Daniel Edgar Sickles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerpetratorName Context triple: [killing of Philip Barton Key II, hasPerpetratorName, Daniel Edgar Sickles]
-
A.
perpetratorFullName
chosen
Indicates the complete personal name of the individual who committed or is responsible for the act or offense.
-
B.
hasPerpetrators
Indicates that certain entities are responsible for carrying out, committing, or executing a particular act, event, or wrongdoing.
-
C.
perpetratorAlias
Indicates that an entity is known or referred to by an alternative name or alias specifically in the context of being the perpetrator of an act or offense.
-
D.
perpetratorInCase
Indicates that an entity is the person or group responsible for committing the offense or wrongdoing in a particular legal or investigative case.
-
E.
hasPerpetratorOrigin
Indicates that the origin or source of a perpetrator (such as their nationality, place of birth, or background) is associated with a particular event, action, or crime.
- 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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 27, 2026, 2:23 p.m.