Triple
T18046950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael McShane |
E431803
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Office Space |
—
|
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: Office Space | Statement: [Michael McShane, notableWork, Office Space]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Office Space Context triple: [Michael McShane, notableWork, Office Space]
-
A.
Office Space
chosen
Office Space is a 1999 cult-classic workplace comedy film that satirizes corporate office culture and the frustrations of white-collar employees.
-
B.
Office Office
Office Office is an Indian satirical television series known for its humorous take on government bureaucracy and corruption, starring Pankaj Kapur in the lead role.
-
C.
"Office"
"Office" is a 2015 Hong Kong musical comedy-drama film directed by Johnnie To, adapted from Sylvia Chang’s stage play and set in a high-rise corporation to satirize modern office politics and capitalism.
-
D.
One Office
One Office is an integrated organizational model used in the UN’s “Delivering as One” approach to streamline internal operations and support more coherent, efficient country-level work.
-
E.
Home Office
The Home Office is a major UK government department responsible for immigration, security, and law and order, including policing and counter-terrorism.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff2d3c48190875ffe9c042d3ec0 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 10:25 a.m.