Triple
T4847160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McNamara brothers bombing case |
E108317
|
entity |
| Predicate | hasPublicReaction |
P19419
|
FINISHED |
| Object | widespread media coverage |
—
|
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: widespread media coverage | Statement: [McNamara brothers bombing case, hasPublicReaction, widespread media coverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicReaction Context triple: [McNamara brothers bombing case, hasPublicReaction, widespread media coverage]
-
A.
hasPublicPerception
Indicates that an entity is associated with a particular way it is viewed, judged, or regarded by the general public or society.
-
B.
hasPublic
Indicates that an entity is accessible or visible to the general public rather than being private or restricted.
-
C.
hasNotableResponse
chosen
Indicates that an entity has received a significant, noteworthy, or widely recognized reaction or feedback in response to it.
-
D.
hasUserAttitude
Indicates that one entity holds a particular attitude, opinion, or evaluative stance toward another entity or subject.
-
E.
hasSentiment
Indicates that one entity expresses or embodies a particular emotional attitude, evaluation, or sentiment toward another entity or subject.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.