Triple
T5741518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Halpert |
E126624
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Dunder Mifflin |
E365748
|
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: Dunder Mifflin | Statement: [Jim Halpert, employer, Dunder Mifflin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunder Mifflin Context triple: [Jim Halpert, employer, Dunder Mifflin]
-
A.
Dunder Mifflin
chosen
Dunder Mifflin is the fictional mid-sized paper supply company that serves as the primary setting for the U.S. television series "The Office."
-
B.
Staples
Staples is a surname most prominently associated with American singer and civil rights activist Mavis Staples.
-
C.
Staples Inc.
Staples Inc. is a major American office supply retail company known for its chain of stores and business-to-business services.
-
D.
Sullivan & Son
Sullivan & Son is an American sitcom that follows a corporate lawyer who leaves his big-city career to run his family's bar in a working-class Pittsburgh neighborhood.
-
E.
Cornier
Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0258382908190af8787feb1e5fbcd |
completed | March 22, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e1bfe4481908740aa20d55ec8f6 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.