Triple
T27246967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tintin in Tibet |
E687370
|
entity |
| Predicate | firstColorEditionYear |
P198783
|
FINISHED |
| Object | 1960 |
—
|
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: 1960 | Statement: [Tintin in Tibet, firstColorEditionYear, 1960]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstColorEditionYear Context triple: [Tintin in Tibet, firstColorEditionYear, 1960]
-
A.
firstEditionEndYear
Indicates the year in which the first edition of something (such as a work, event, or series) concluded or ceased to be current.
-
B.
firstCollectedEditionYear
Indicates the year in which the first collected edition of a work was published or made available.
-
C.
firstTypicalEditionYear
Indicates the year in which the first typical or standard edition of a work was published or officially issued.
-
D.
firstEditionPublicationYear
Indicates the year in which an entity’s first edition was originally published.
-
E.
hasFirstEditionYear
Indicates the year in which the first edition of an item (such as a work, book, or publication) was originally released or published.
- 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69ff069ddf948190bdfe438953249dd0 |
completed | May 9, 2026, 10:04 a.m. |
Created at: April 27, 2026, 10:42 a.m.