Triple
T14373731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Characters Edition John Lennon |
E356418
|
entity |
| Predicate | hasCapTopEmblem |
P95931
|
FINISHED |
| Object | Montblanc emblem |
—
|
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: Montblanc emblem | Statement: [Great Characters Edition John Lennon, hasCapTopEmblem, Montblanc emblem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCapTopEmblem Context triple: [Great Characters Edition John Lennon, hasCapTopEmblem, Montblanc emblem]
-
A.
hasEmblemColor
Indicates that an emblem possesses or is characterized by a specific color.
-
B.
containsEmblem
Indicates that one entity includes or displays the emblem of another entity as part of its design or composition.
-
C.
hasInsigniaComponent
chosen
Indicates that an entity includes, bears, or is composed of a particular insignia or emblem as one of its components.
-
D.
hasEmblemElement
Indicates that an emblem includes or features a specific element as one of its components.
-
E.
hasCrestBadge
Indicates that an entity possesses or is associated with a specific crest badge.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9007184c8190aebb003cb6548cc8 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.