Triple
T7294311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layne Staley |
E164478
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Layne |
E56579
|
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: Layne | Statement: [Layne Staley, givenName, Layne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Layne Context triple: [Layne Staley, givenName, Layne]
-
A.
Layne
chosen
Layne is a given name used for both males and females, often considered a variant spelling of the name Lane.
-
B.
Lyle
Lyle is a masculine given name of English origin, often used as a first name or nickname.
-
C.
KiKi Layne
KiKi Layne is an American actress known for her breakout role in "If Beale Street Could Talk" and performances in films such as "The Old Guard" and "Don't Worry Darling."
-
D.
Laynez
Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
-
E.
Lynn
Lynn was the original name of what is now known as King’s Lynn railway station in Norfolk, England.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8b7cc08190983739bf667057c9 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e543c22c8190acf8dcffd9c59520 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.