Triple
T6851665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob Leon Rubenstein |
E158031
|
entity |
| Predicate | locationOfShooting |
P25801
|
FINISHED |
| Object | Dallas Police Headquarters basement |
—
|
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: Dallas Police Headquarters basement | Statement: [Jacob Leon Rubenstein, locationOfShooting, Dallas Police Headquarters basement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfShooting Context triple: [Jacob Leon Rubenstein, locationOfShooting, Dallas Police Headquarters basement]
-
A.
allegedShooterLocation
chosen
Indicates the place where a person is claimed or reported to have carried out a shooting.
-
B.
hasShootingLocation
Indicates that an audiovisual work was filmed or recorded at a particular location.
-
C.
placeOfKilling
Indicates the location where a killing event took place.
-
D.
assassinationAttemptLocation
Indicates the place where an attempted assassination occurred or was intended to occur.
-
E.
capturedPlace
Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84e6fb08190915954be5b0df2d8 |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.