Triple
T18226685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Secunda |
E436438
|
entity |
| Predicate | coFounderWith |
P2835
|
FINISHED |
| Object | Duncan MacMillan |
—
|
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: Duncan MacMillan | Statement: [Thomas Secunda, coFounderWith, Duncan MacMillan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duncan MacMillan Context triple: [Thomas Secunda, coFounderWith, Duncan MacMillan]
-
A.
Duncan MacMillan
chosen
Duncan MacMillan is an American businessman best known as one of the co-founders of the global financial information and media company Bloomberg L.P.
-
B.
Duncan MacMillan
Duncan MacMillan is an American businessman best known as a co-founder of Interactive Data Corporation, a major provider of financial market data and analytics.
-
C.
Keir McFarlane
Keir McFarlane is a music video director best known for his work on high-profile rock videos in the 1990s.
-
D.
Neil MacLeod
Neil MacLeod is a personal name shared by several notable individuals, including figures in politics, sports, and the arts.
-
E.
Duncan Macmillan
Duncan Macmillan is a British playwright and director known for contemporary, psychologically incisive works such as "People, Places & Things" and the stage adaptation of "1984."
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aff8748190be5e732f9dbc8dff |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:32 a.m.