Triple
T6411953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George K. Zipf |
E127726
|
entity |
| Predicate | theory |
P450
|
FINISHED |
| Object | Zipf's law |
E592076
|
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: Zipf's law | Statement: [George K. Zipf, theory, Zipf's law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zipf's law Context triple: [George K. Zipf, theory, Zipf's law]
-
A.
Szemerényi's law
Szemerényi's law is a sound law in Proto-Indo-European linguistics that explains the loss of certain final consonants with compensatory lengthening of the preceding vowel.
-
B.
Zipf
chosen
Zipf is a surname most notably associated with linguist George Kingsley Zipf, known for formulating Zipf's law about word frequency distributions.
-
C.
Newcomb–Benford law
The Newcomb–Benford law is a statistical principle stating that in many naturally occurring datasets, the leading digits are distributed logarithmically, with smaller digits (especially 1) appearing as the first digit more frequently than larger ones.
-
D.
Pareto distribution
The Pareto distribution is a power-law probability distribution often used to model phenomena with heavy tails and strong inequality, such as wealth or city sizes.
-
E.
Pareto principle
The Pareto principle is an economic and management concept stating that roughly 80% of effects come from 20% of causes, often used to prioritize efforts and resources.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068d228208190ba05eeb7707482fe |
completed | March 22, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bb5196c8190ab970afbe4f2a672 |
completed | March 27, 2026, 9:19 a.m. |
Created at: March 22, 2026, 4:42 p.m.