Triple
T22496849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew |
E556162
|
entity |
| Predicate | wasTopRankedNameInCountry |
P148438
|
FINISHED |
| Object | Top 10 boy name in the United States in the 1980s |
—
|
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: Top 10 boy name in the United States in the 1980s | Statement: [Matthew, wasTopRankedNameInCountry, Top 10 boy name in the United States in the 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasTopRankedNameInCountry Context triple: [Matthew, wasTopRankedNameInCountry, Top 10 boy name in the United States in the 1980s]
-
A.
wasTopGivenNameInCountry
Indicates that a given name held the highest popularity rank among all given names within a specified country for a particular time period.
-
B.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
C.
rankInCountry
Indicates the position or standing of an entity within a specific country according to some ranking or ordered criterion.
-
D.
namePopularityRegion
Indicates the geographic region or area in which a particular name has a certain level of popularity or usage.
-
E.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb2644c819094864bd88bcebcbd |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:50 p.m.