Triple
T27635268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | killing of Philip Barton Key II |
E696452
|
entity |
| Predicate | hasVictimOccupation |
P1786
|
FINISHED |
| Object | U.S. Attorney for the District of Columbia |
—
|
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: U.S. Attorney for the District of Columbia | Statement: [killing of Philip Barton Key II, hasVictimOccupation, U.S. Attorney for the District of Columbia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVictimOccupation Context triple: [killing of Philip Barton Key II, hasVictimOccupation, U.S. Attorney for the District of Columbia]
-
A.
victimOccupation
chosen
Indicates the profession or job role held by the person who is the victim in an event or incident.
-
B.
hasPerpetratorOccupation
Indicates that the occupation or job role of the perpetrator involved in an act or incident is being specified.
-
C.
hasTypicalVictimRole
Indicates that an entity typically occupies the role of a victim in the context of a particular action, event, or relationship.
-
D.
isVictimOf
Indicates that one entity suffers harm, loss, or wrongdoing as a result of another entity’s actions or events.
-
E.
hasVictims
Indicates that an entity has one or more individuals who have been harmed, injured, or adversely affected by it.
- 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_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 2:23 p.m.