Triple
T2504730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas critique |
E52550
|
entity |
| Predicate | inAcademicDebate |
P40843
|
FINISHED |
| Object | macroeconomic model design |
—
|
LITERAL 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: macroeconomic model design | Statement: [Lucas critique, inAcademicDebate, macroeconomic model design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inAcademicDebate Context triple: [Lucas critique, inAcademicDebate, macroeconomic model design]
-
A.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
B.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
C.
debateOrganizer
Indicates that one entity is responsible for organizing, coordinating, or managing a debate involving another entity or entities.
-
D.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
E.
enteredPoliticalDebateIn
Indicates that an entity took part in a political debate that occurred in a specified place or context.
- F. None of above. chosen
Provenance (4 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd65c9d508190957285a078698ed2 |
completed | March 7, 2026, 7:40 a.m. |
Created at: March 6, 2026, 9:46 p.m.