Triple
T8435960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Trap |
E199223
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | Digital Pictures |
E734311
|
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: Digital Pictures | Statement: [Night Trap, publisher, Digital Pictures]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digital Pictures Context triple: [Night Trap, publisher, Digital Pictures]
-
A.
Digital Pictures
chosen
Digital Pictures was an American video game company best known for pioneering full-motion video (FMV) games in the early 1990s.
-
B.
Pictures for Photographs
Pictures for Photographs is a photography book by British fashion photographer Miles Aldridge, showcasing his highly stylized, cinematic, and vividly colored imagery.
-
C.
Photos
Photos is Apple's built-in photo management and editing application for macOS that organizes, syncs, and enhances users' image and video libraries.
-
D.
Images
Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
-
E.
Photograph
"Photograph" is a hit rock song by the English band Def Leppard, widely recognized as one of their signature tracks from the 1980s.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe132a6f881908f990089792fccc4 |
completed | March 31, 2026, 2:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce399e8efc8190ad6fa8a6cf91797c |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:08 p.m.