Triple
T16635258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Dragon |
E404180
|
entity |
| Predicate | artDirectionBy |
P7743
|
FINISHED |
| Object | Wolf Kroeger |
E868152
|
NE 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: Wolf Kroeger | Statement: [Year of the Dragon, artDirectionBy, Wolf Kroeger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolf Kroeger Context triple: [Year of the Dragon, artDirectionBy, Wolf Kroeger]
-
A.
Wolf Kroeger
chosen
Wolf Kroeger is a German-born production designer and art director known for his work on major films including the 1980 adaptation of "Popeye."
-
B.
Arthur Kroeger
Arthur Kroeger was a prominent Canadian public servant and academic leader who became known as one of Ottawa’s most respected mandarins and later a key figure in higher education.
-
C.
Wolf Leslau
Wolf Leslau was a prominent linguist and scholar of Semitic and Ethiopian languages, renowned for his extensive fieldwork and documentation of endangered tongues.
-
D.
Wolf Fleischer
Wolf Fleischer is a notable individual who shares the Fleischer surname, recognized enough to be specifically cited as a bearer of the name.
-
E.
Wolf Kretzschmar
Wolf Kretzschmar is a film and television producer known for his work on the Norwegian Netflix series "Home for Christmas."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084b984d081909f76ef874431ff40 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.