Triple
T17716593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmer Layden |
E442215
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Layden |
—
|
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: Layden | Statement: [Elmer Layden, hasFamilyName, Layden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Layden Context triple: [Elmer Layden, hasFamilyName, Layden]
-
A.
Layden
chosen
Layden is a surname of Irish origin borne by various notable individuals, including American football player and coach Elmer Layden.
-
B.
Whitestown
Whitestown is a rapidly growing suburban town in Boone County, Indiana, located northwest of downtown Indianapolis within the greater Indianapolis metropolitan region.
-
C.
Groveland
Groveland is a small New England town in northeastern Massachusetts known for its residential character and proximity to the Merrimack River.
-
D.
Groveland
Groveland is a small unincorporated community in California’s Sierra Nevada foothills, known as a gateway town for visitors traveling to Yosemite National Park.
-
E.
Weeford
Weeford is a small rural village and civil parish in Staffordshire, England, known for its historic church and traditional English countryside setting.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47481663c8190a1110385e5596ab0 |
completed | April 19, 2026, 6:21 a.m. |
Created at: April 10, 2026, 10:06 a.m.