Triple
T27088383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tintin in America |
E686095
|
entity |
| Predicate | colorEditionYear |
P146543
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Tintin in America, colorEditionYear, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorEditionYear Context triple: [Tintin in America, colorEditionYear, 1945]
-
A.
colorVersionReleaseYear
chosen
Indicates the year in which a particular color version of something was released.
-
B.
editionColorName
Indicates the specific color designation or name assigned to a particular edition of an item.
-
C.
coverVersionReleaseYear
Indicates the year in which a particular cover version of an original work was released.
-
D.
mostRecentEditionYear
Indicates the calendar year in which the most recently released edition of an entity (such as a work, product, or publication) was published or made available.
-
E.
correctedEditionYear
Indicates the year in which a corrected or revised edition of a work was published or released.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 8:39 a.m.