Triple
T9402856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Athey |
E226517
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Susan Athey |
E226517
|
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: Susan Athey | Statement: [Susan Athey, name, Susan Athey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Athey Context triple: [Susan Athey, name, Susan Athey]
-
A.
Susan Athey
chosen
Susan Athey is an influential American economist known for her pioneering work in applied microeconomics, market design, and the economics of technology and digital platforms.
-
B.
Esther Duflo
Esther Duflo is a French-American economist and Nobel laureate renowned for her pioneering use of randomized controlled trials to study and combat global poverty.
-
C.
Amy Finkelstein
Amy Finkelstein is an American economist known for her influential research on health insurance, public finance, and the impact of government policy on healthcare markets.
-
D.
Nancy Stokey
Nancy Stokey is an influential American economist known for her work in economic growth, dynamic macroeconomics, and the theory of economic policy.
-
E.
Pol Antràs
Pol Antràs is a Spanish economist known for his influential research on international trade, global value chains, and firm organization, and for serving as a professor of economics at Harvard University.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51be35cc8190bafad423a142c305 |
completed | April 1, 2026, 5:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1012ca6c0819098c427233d226dd2 |
completed | April 4, 2026, 12:16 p.m. |
Created at: March 30, 2026, 7:46 p.m.