Triple
T35253453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Ross |
E1018159
|
entity |
| Predicate | narrativelySignificantEvent |
P148591
|
FINISHED |
| Object | murder |
—
|
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: murder | Statement: [Frank Ross, narrativelySignificantEvent, murder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativelySignificantEvent Context triple: [Frank Ross, narrativelySignificantEvent, murder]
-
A.
significantEvent
Indicates that an event involving the entities is of notable importance or impact within a given context.
-
B.
notableStoryEvent
chosen
Indicates that an event plays a significant or memorable role within the narrative or storyline associated with the subject.
-
C.
significantEventInvolves
Indicates that a significant event includes or engages a particular entity as a participant or key element.
-
D.
narrativeMoment
Indicates the specific point or phase within a narrative at which an event, action, or relationship occurs.
-
E.
significantEventType
Indicates the specific category or kind of major or noteworthy event associated with an entity or situation.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: May 3, 2026, 4:02 p.m.