Triple
T7279755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Say's law |
E163115
|
entity |
| Predicate | debatedBetween |
P76208
|
FINISHED |
| Object | classical economists and Keynesian economists |
—
|
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: classical economists and Keynesian economists | Statement: [Say's law, debatedBetween, classical economists and Keynesian economists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: debatedBetween Context triple: [Say's law, debatedBetween, classical economists and Keynesian economists]
-
A.
debatedAs
Indicates that one entity is discussed or argued over in terms of being equivalent to, or serving in the role of, another entity within a debate or comparative argument.
-
B.
debatedWithin
Indicates that something is discussed or argued about within a particular group, context, or domain.
-
C.
debatedAt
Indicates that a debate or formal discussion involving the subject took place at the specified location or event.
-
D.
hasLongTermDebateOn
Indicates that there is an ongoing, extended period of discussion, disagreement, or argument concerning a particular topic or issue.
-
E.
hasDebatedPerson
Indicates that one person has engaged in a debate or formal argumentative discussion with another person.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb88a2648190acc79eeee8733705 |
completed | March 27, 2026, 8:41 p.m. |
Created at: March 27, 2026, 2:59 p.m.