Triple
T4285641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean |
E97261
|
entity |
| Predicate | isCognateWith |
P2527
|
FINISHED |
| Object | Shane |
E185820
|
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: Shane | Statement: [Sean, isCognateWith, Shane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shane Context triple: [Sean, isCognateWith, Shane]
-
A.
Shane
chosen
Shane is a masculine given name of Irish origin that has become common in English-speaking countries.
-
B.
Shane Harper
Shane Harper is an American actor and singer known for roles in film and television, including the miniseries "A Teacher."
-
C.
Quintin
Quintin is a masculine given name of Latin origin, derived from "Quintinus" and traditionally associated with the meaning "fifth."
-
D.
Clint
Clint is a small town in El Paso County, Texas, known for its rural character and proximity to the U.S.–Mexico border.
-
E.
Shawn
Shawn is a given name, typically a variant of the name John or Sean, used primarily in English-speaking countries.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505bff588190919a4ef547f607c2 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c657b08190b96135c34622e559 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:07 p.m.