Triple
T7477511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1954 United States Capitol shooting |
E176666
|
entity |
| Predicate | notablePerpetratorRole |
P10181
|
FINISHED |
| Object | Lolita Lebrón led the group |
—
|
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: Lolita Lebrón led the group | Statement: [1954 United States Capitol shooting, notablePerpetratorRole, Lolita Lebrón led the group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePerpetratorRole Context triple: [1954 United States Capitol shooting, notablePerpetratorRole, Lolita Lebrón led the group]
-
A.
notableVictim
Indicates that the subject is a person or entity who is notably recognized as a victim of the object (such as an event, crime, or harmful action).
-
B.
perpetratorOfKilling
Indicates that an entity is the one who carried out or caused a particular killing.
-
C.
notablePrisoner
Indicates that a person is recognized as a significant or noteworthy inmate of a particular prison or detention facility.
-
D.
commanderOfPerpetrators
chosen
Indicates that one entity holds command authority over the individuals who carried out a particular act or offense.
-
E.
perpetratorNationality
Indicates the country or nationality to which a perpetrator of an act, crime, or harmful event belongs.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f0088c8190880770ac31e5b7a7 |
completed | March 27, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:41 p.m.