Triple
T19914972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | writing the novel "Watership Down" |
E478641
|
entity |
| Predicate | hasPublicationYearOfResult |
P102721
|
FINISHED |
| Object | 1972 |
—
|
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: 1972 | Statement: [writing the novel "Watership Down", hasPublicationYearOfResult, 1972]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicationYearOfResult Context triple: [writing the novel "Watership Down", hasPublicationYearOfResult, 1972]
-
A.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
B.
appearsInPublicationYear
Indicates that an entity is featured in a publication that was released in a specific year.
-
C.
resultsPublishedBy
Indicates that the results of an activity, process, or event are made publicly available or formally issued by a particular agent or organization.
-
D.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
E.
authorWorkPublicationYear
chosen
Indicates the year in which a specific work created by an author was 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6599394f081909246006c2e83bacc |
completed | April 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.