Triple
T15355256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office Space |
E367154
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Richard Riehle |
—
|
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: Richard Riehle | Statement: [Office Space, portrayedBy, Richard Riehle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Riehle Context triple: [Office Space, portrayedBy, Richard Riehle]
-
A.
Richard Riehle
chosen
Richard Riehle is an American character actor known for his prolific work in film and television, including memorable roles in movies like "Office Space" and numerous guest appearances on popular TV series.
-
B.
Richard Rieke
Richard Rieke is a scholar and author known for his work on argumentation and critical thinking, particularly through his influential textbook "An Introduction to Reasoning."
-
C.
Richard Reitinger
Richard Reitinger is a German screenwriter best known for co-writing Wim Wenders’ acclaimed film "Wings of Desire."
-
D.
William Diehl
William Diehl was an American novelist best known for his gritty, suspenseful legal and crime thrillers.
-
E.
Richard J. Hieb
Richard J. Hieb is a former NASA astronaut and engineer who flew on three Space Shuttle missions in the early 1990s, contributing to satellite deployment, repair, and microgravity research.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
Created at: April 10, 2026, 3:18 a.m.