Triple
T3043481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Den of Thieves |
E83185
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Christian Wagner |
E197182
|
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: Christian Wagner | Statement: [Den of Thieves, editedBy, Christian Wagner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christian Wagner Context triple: [Den of Thieves, editedBy, Christian Wagner]
-
A.
Christian Wagner
chosen
Christian Wagner is a film editor known for his work on major Hollywood productions, including the superhero film "The Suicide Squad."
-
B.
Nal Kalchbrenner
Nal Kalchbrenner is a computer scientist and machine learning researcher known for co-developing WaveNet, a groundbreaking deep generative model for raw audio.
-
C.
Alberich Zwyssig
Alberich Zwyssig was a Swiss monk and composer best known for writing the music to the Swiss national anthem, the "Swiss Psalm."
-
D.
Zora Dirnbach
Zora Dirnbach was a Croatian journalist, writer, and Holocaust survivor known for her work in radio, literature, and public discourse on Jewish identity and history.
-
E.
Reinhard
Reinhard is a masculine German given name historically borne by several notable figures, including high-ranking officials in Nazi Germany.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5ec5988190b8b6c95c743c6d1e |
completed | March 8, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ded35e008190be7dd72aa7537a3b |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3:01 p.m.