Triple
T14211488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White Buildings |
E352242
|
entity |
| Predicate | hasPoem |
P21160
|
FINISHED |
| Object | Interior |
E878795
|
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: Interior | Statement: [White Buildings, hasPoem, Interior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Interior Context triple: [White Buildings, hasPoem, Interior]
-
A.
Interior
The Interior is a ministerial department within the Monégasque government responsible for internal affairs, public security, and administration of the principality.
-
B.
Interior
chosen
"Interior" is a painting by American self-taught artist Horace Pippin, reflecting his characteristic, quietly powerful depictions of everyday domestic life.
-
C.
Inside
Inside is a critically acclaimed atmospheric puzzle-platformer video game by Playdead, known for its dark, minimalist storytelling and haunting visual design.
-
D.
Interior Landscape
"Interior Landscape" is an abstract painting by American artist Helen Frankenthaler, exemplifying her pioneering soak-stain technique and lyrical color-field style.
-
E.
Interieurs
Interieurs is a photographic series by German artist Thomas Ruff that explores domestic interior spaces through formally composed, often impersonal images.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620dba0c8190bb77a1df10e1d3a7 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19574280819091bafd95a75983bf |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.