Triple
T16402238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaina Marie Mathers |
E398328
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Alaina |
E1033716
|
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: Alaina | Statement: [Alaina Marie Mathers, givenName, Alaina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alaina Context triple: [Alaina Marie Mathers, givenName, Alaina]
-
A.
Alaina
chosen
Alaina is a feminine given name, typically considered a variant of names like Alain or Alan.
-
B.
Alaina Johnson
Alaina Johnson is a former elite collegiate gymnast best known for her standout career with the University of Florida Gators, where she helped lead the team to multiple NCAA championships.
-
C.
Analeigh Tipton
Analeigh Tipton is an American actress and former figure skater and model known for her roles in films such as "Crazy, Stupid, Love" and "Warm Bodies."
-
D.
Alana
Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
-
E.
Kailyn
Kailyn is a feminine given name, often considered a modern variant or stylistic spelling related to names like Kylie and Kaylin.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d0652081908f42f78b156f3ae7 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6094e481909aa7402fd17fedae |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.