Triple
T7376154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Karpovsky |
E170127
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | Tiny Furniture |
E458046
|
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: Tiny Furniture | Statement: [Alex Karpovsky, actedIn, Tiny Furniture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiny Furniture Context triple: [Alex Karpovsky, actedIn, Tiny Furniture]
-
A.
Tiny Furniture
chosen
Tiny Furniture is a 2010 indie comedy-drama film written, directed by, and starring Lena Dunham, which explores post-college aimlessness and family dynamics in New York City.
-
B.
Third Small Bench
Third Small Bench is a division of Japan’s Supreme Court that handles certain categories of appeals and legal cases.
-
C.
Tiny
Tiny was the ironic nickname of Bernard Freyberg, a highly decorated British-New Zealand military commander and World War II general.
-
D.
Tiny
Tiny is the giant blue ox companion of the legendary lumberjack Paul Bunyan in American folklore.
-
E.
Tabouret Berger
Tabouret Berger is a minimalist wooden stool designed by French modernist architect and designer Charlotte Perriand, known for its simple, functional form and use of natural materials.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a8b18c8190ad1a19521eda2319 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802d15a8481908e43701459607276 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.