Triple
T17210617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krzysztof Zanussi |
E417717
|
entity |
| Predicate | hasWork |
P6260
|
FINISHED |
| Object | Camouflage |
E1255355
|
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: Camouflage | Statement: [Krzysztof Zanussi, hasWork, Camouflage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camouflage Context triple: [Krzysztof Zanussi, hasWork, Camouflage]
-
A.
Camouflage
chosen
Camouflage is a 1977 Polish drama film by director Krzysztof Zanussi that satirically explores academic politics and moral compromise in communist-era Poland.
-
B.
Camouflage
"Camouflage" is a song by the American rock band Three Days Grace from their album "Human."
-
C.
Camouflage
Camouflage is a 1981 funk and soul album by the band Rufus, showcasing their smooth grooves and tight musicianship during the later phase of their career.
-
D.
Camouflage
Camouflage is a science fiction novel by Joe Haldeman that explores shape-shifting aliens, identity, and humanity across centuries.
-
E.
Cammo
Cammo is a suburban area in western Edinburgh, Scotland, known for its historic estate and surrounding parkland.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc4792081909443df7937768ede |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01674df2cc8190be602b15d49d38d0 |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:38 a.m.