Triple
T17902377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan P. Olsen |
E447612
|
entity |
| Predicate | hasCollaborator |
P10645
|
FINISHED |
| Object | James G. March |
—
|
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: James G. March | Statement: [Johan P. Olsen, hasCollaborator, James G. March]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James G. March Context triple: [Johan P. Olsen, hasCollaborator, James G. March]
-
A.
James G. March
chosen
James G. March was an influential organizational theorist and political scientist known for his work on decision-making, organizational behavior, and the "garbage can" model of organizational choice.
-
B.
John R. Meyer
John R. Meyer was an American economist known for his influential work in transportation economics and quantitative economic history.
-
C.
Donald L. Kirkpatrick
Donald L. Kirkpatrick was an American professor and training expert best known for developing the influential four-level model for evaluating training programs.
-
D.
Thomas Wight
Thomas Wight was an American architect best known as one of the founding partners of the architectural firm Wight and Wight.
-
E.
Robert G. Katz
Robert G. Katz is a film producer known for his work on the movie "Idlewild."
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e99c3188190aead24cd3d48c7a7 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.