Triple
T27348775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Hamer |
E684298
|
entity |
| Predicate | placeOfBonnieAndClydeAmbush |
P72620
|
FINISHED |
| Object | near Gibsland, Louisiana |
—
|
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: near Gibsland, Louisiana | Statement: [Frank Hamer, placeOfBonnieAndClydeAmbush, near Gibsland, Louisiana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: placeOfBonnieAndClydeAmbush Context triple: [Frank Hamer, placeOfBonnieAndClydeAmbush, near Gibsland, Louisiana]
-
A.
capturedPlace
Indicates that an agent took control of or seized a specific place, typically through force or strategic action.
-
B.
coupLocation
Indicates the place where a coup d'état occurs or is carried out.
-
C.
allegedShooterLocation
Indicates the place where a person is claimed or reported to have carried out a shooting.
-
D.
placeOfShooting
chosen
Indicates the location where a shooting event took place.
-
E.
isLocatedOnOutskirtsOf
Indicates that one entity is situated on the outer edge or peripheral area of another entity, rather than in its central or inner part.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 11:47 a.m.