Triple
T20228622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betnijah Laney |
E495457
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Laney |
—
|
NE NERFINISHED |
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: Laney | Statement: [Betnijah Laney, familyName, Laney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laney Context triple: [Betnijah Laney, familyName, Laney]
-
A.
Laney
chosen
Laney is the surname of Betnijah Laney, an American professional basketball player in the WNBA.
-
B.
Delaney
Delaney is a surname of Irish origin commonly borne by individuals and families in English-speaking countries.
-
C.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
-
D.
Lynn
Lynn is a given name used for people of any gender in English-speaking countries.
-
E.
Lynn
Lynn is a small town located in Winston County, Alabama, known for its rural character and close-knit community.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdb61b08190b850a9648ebfb720 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.