Triple
T30335850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | murder of Nancy Montgomery |
E771617
|
entity |
| Predicate | inspiredWorkPublicationYear |
P107853
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [murder of Nancy Montgomery, inspiredWorkPublicationYear, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredWorkPublicationYear Context triple: [murder of Nancy Montgomery, inspiredWorkPublicationYear, 1996]
-
A.
inspiredWorkReleaseYear
chosen
Indicates the year in which a work that served as inspiration for another work was released.
-
B.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
-
C.
relatedWorkPublicationYear
Indicates the year in which a related work associated with the primary entity was published.
-
D.
folioPublicationYear
Indicates the year in which a particular folio was published.
-
E.
notableWorkPublicationDate
Indicates the date on which a notable work associated with an entity was first published.
- 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_69f2248aba24819095bb86480d55b23b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 29, 2026, 7:54 p.m.