Triple
T14455013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza Suite |
E358435
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Plaza Suite (television film) |
E358435
|
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: Plaza Suite (television film) | Statement: [Plaza Suite, hasAdaptation, Plaza Suite (television film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plaza Suite (television film) Context triple: [Plaza Suite, hasAdaptation, Plaza Suite (television film)]
-
A.
Plaza Suite
chosen
Plaza Suite is a 1968 Broadway comedy play by Neil Simon, structured as three one-act plays all set in the same New York hotel suite.
-
B.
California Suite
California Suite is a 1978 comedy film adaptation of Neil Simon’s play, featuring an ensemble cast including Maggie Smith in an Oscar-winning role.
-
C.
Hotel Bel-Air
Hotel Bel-Air is a historic, ultra-luxury hotel in Los Angeles known for its secluded garden setting, celebrity clientele, and classic Hollywood glamour.
-
D.
Bel-Air
Bel-Air is a Paris Métro station located in the 12th arrondissement of Paris, France.
-
E.
Bel-Air
Bel-Air is a central public transport interchange in Geneva, Switzerland, serving as a key node for tram and bus connections across the city.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91a8bf088190abf5fd4f646b8c62 |
completed | April 14, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd649177108190be32af72dcae04ee |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.