Triple
T20352113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Kremer |
E496037
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Michael Kremer |
—
|
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: Michael Kremer | Statement: [Michael Kremer, name, Michael Kremer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Kremer Context triple: [Michael Kremer, name, Michael Kremer]
-
A.
Michael Kremer
chosen
Michael Kremer is an American development economist and Nobel laureate known for pioneering the use of randomized controlled trials to evaluate anti-poverty programs.
-
B.
Davida McKenzie
Davida McKenzie is a New Zealand actress best known for her role in the 2021 horror film "Silent Night."
-
C.
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.
-
D.
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.
-
E.
Oded Galor
Oded Galor is an Israeli-American economist renowned for founding unified growth theory, which links long-run economic development to demographic change, technological progress, and inequality.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67850ace48190b19aff5780fef7e8 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.