Triple
T21352344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Dubin |
E526517
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Room 222 |
—
|
NE NERFINISHED |
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: Room 222 | Statement: [Gary Dubin, notableWork, Room 222]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Room 222 Context triple: [Gary Dubin, notableWork, Room 222]
-
A.
Room 222
chosen
Room 222 is an American television sitcom that aired from 1969 to 1974, focusing on the lives of teachers and students at a racially diverse Los Angeles high school.
-
B.
Hall 22a
Hall 22a is an exhibition and event space within the International Convention Centre in Birmingham, used for conferences, trade shows, and large-scale gatherings.
-
C.
Hall 22
Hall 22 is one of the exhibition and event halls within the International Convention Centre in Birmingham, used for conferences, trade shows, and large-scale gatherings.
-
D.
Room 217
Room 217 is the famously haunted room at the Stanley Hotel in Colorado, best known for inspiring Stephen King’s novel "The Shining."
-
E.
Hall 27
Hall 27 is one of the large exhibition and event halls within the International Convention Centre complex in Birmingham, used for conferences, trade shows, and large-scale gatherings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad33b3388190b9bc8dd5343e5a86 |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5:04 p.m.