Triple
T577167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montblanc |
E13779
|
entity |
| Predicate | hasLimitedEditionSeries |
P15697
|
FINISHED |
| Object | Writers Edition |
—
|
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: Writers Edition | Statement: [Montblanc, hasLimitedEditionSeries, Writers Edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitedEditionSeries Context triple: [Montblanc, hasLimitedEditionSeries, Writers Edition]
-
A.
hasVariantSeries
Indicates a relationship where one entity is a variant or alternative series derived from or associated with another series.
-
B.
currentSeriesIntroduced
Indicates that an entity was first introduced or appeared in the currently ongoing series or installment of a work.
-
C.
numberOfEditions
Indicates the total count of distinct editions associated with a given entity.
-
D.
hasModernEditions
Indicates that an original work or text has one or more updated or contemporary published editions.
-
E.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b68cc808190b1ba45bdad78443d |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c692288190b88f30299516b5ba |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985a2d08819090947895d9439e06 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.