Triple
T4059412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ella |
E84771
|
entity |
| Predicate | rankedInTop100BabyNamesUS |
P20888
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Ella, rankedInTop100BabyNamesUS, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankedInTop100BabyNamesUS Context triple: [Ella, rankedInTop100BabyNamesUS, true]
-
A.
frequencyRankInUnitedStates
Indicates the relative position of something in an ordered list based on how frequently it occurs within the United States.
-
B.
wasTopGivenNameInCountry
Indicates that a given name held the highest popularity rank among all given names within a specified country for a particular time period.
-
C.
namePopularityType
Indicates the category or type of popularity associated with a given name (e.g., how or in what way the name is considered popular).
-
D.
rankedHighInUS
chosen
Indicates that something has achieved a relatively high ranking or position within the United States according to a specific metric or evaluation.
-
E.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
- F. None of above.
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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.