Triple
T5672260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pol Antràs |
E125005
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pol Antràs |
E125005
|
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: Pol Antràs | Statement: [Pol Antràs, name, Pol Antràs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pol Antràs Context triple: [Pol Antràs, name, Pol Antràs]
-
A.
Pol Antràs
chosen
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.
-
B.
Dale T. Mortensen
Dale T. Mortensen was an American economist and Nobel laureate renowned for his pioneering work on search and matching theory in labor economics.
-
C.
David Romer
David Romer is an influential American macroeconomist known for his work on New Keynesian economics, advanced macroeconomic theory, and widely used graduate-level textbooks.
-
D.
Michael Kremer
Michael Kremer is an American development economist and Nobel laureate known for pioneering the use of randomized controlled trials to evaluate anti-poverty programs.
-
E.
Robert J. Barro
Robert J. Barro is a prominent American macroeconomist known for his influential work on rational expectations, public debt, and economic growth.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0236e8dc48190b4eb7709a258909f |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04db5c9a08190b1d6b7db87d0d9ac |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.