Triple
T3753287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Fielden |
E81381
|
entity |
| Predicate | viewOnHaymarketBombing |
P51121
|
FINISHED |
| Object | denied involvement in the bombing |
—
|
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: denied involvement in the bombing | Statement: [Samuel Fielden, viewOnHaymarketBombing, denied involvement in the bombing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnHaymarketBombing Context triple: [Samuel Fielden, viewOnHaymarketBombing, denied involvement in the bombing]
-
A.
cityBombed
Indicates that a particular city was subjected to a bombing attack.
-
B.
bombingLocation
Indicates the place where a bombing event occurs or is carried out.
-
C.
resultOfBombing
Indicates that something exists or occurs as a consequence or outcome of a bombing event.
-
D.
MichaelODwyerPositionAtTimeOfMassacre
Indicates the specific official role or position Michael O'Dwyer held at the time the massacre occurred.
-
E.
viewOnLiberty
Indicates a person's stance, opinion, or perspective regarding the concept or principles of liberty.
- F. None of above. chosen
Provenance (4 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb9340e0819083215989718b4598 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69adc1560c248190b07438d766880990 |
completed | March 8, 2026, 6:35 p.m. |
Created at: March 8, 2026, 3:35 p.m.