Triple
T21447093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantaloon in Black |
E529104
|
entity |
| Predicate | collectionFirstPublicationYear |
P142726
|
FINISHED |
| Object | 1942 |
—
|
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: 1942 | Statement: [Pantaloon in Black, collectionFirstPublicationYear, 1942]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionFirstPublicationYear Context triple: [Pantaloon in Black, collectionFirstPublicationYear, 1942]
-
A.
firstAssociatedPublicationYear
Indicates the calendar year in which an entity’s earliest associated publication was first released or made publicly available.
-
B.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
-
C.
firstPublishedInWorkYear
Indicates the year in which a work was first published.
-
D.
yearOfWorkPublicationStart
Indicates the calendar year in which a given work was first published or made publicly available.
-
E.
originalCollectionPublicationYear
chosen
Indicates the year in which the original collection containing the 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9cea7bc81909ee3e1cdeda1fe7e |
completed | April 23, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:06 p.m.