Triple
T16171841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blair |
E392457
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Blaire |
E859157
|
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: Blaire | Statement: [Blair, hasVariant, Blaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaire Context triple: [Blair, hasVariant, Blaire]
-
A.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
-
B.
Ashlea
chosen
Ashlea is a given name, typically a feminine variant of Ashley, used in English-speaking countries.
-
C.
Brenna
Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
-
D.
Brenna
Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
-
E.
Kayla
Kayla is a central character in the tech-comedy web series "Hacks," known for her over-the-top personality and chaotic presence in the workplace.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb7ab1481908fc35bfc8c56e5f2 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7bd87f08190a9f2a1524e5db2ba |
completed | May 10, 2026, 3:13 a.m. |
Created at: April 10, 2026, 5:02 a.m.