Triple
T20842522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl J. Goodlett |
E513135
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Goodlett |
—
|
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: Goodlett | Statement: [Carl J. Goodlett, hasSurname, Goodlett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goodlett Context triple: [Carl J. Goodlett, hasSurname, Goodlett]
-
A.
Goodlett
chosen
Goodlett is a surname of English and Scottish origin borne by various notable individuals, including figures in American social and cultural history.
-
B.
Lovett
Lovett is a surname most prominently associated with American singer, songwriter, and actor Lyle Lovett.
-
C.
Ranlett
Ranlett is a family surname associated with Charles Ranlett and his descendants.
-
D.
Gerrity
Gerrity is a surname, likely of Irish origin, that serves as a spelling variant of the name Gerry.
-
E.
Gooding
Gooding is a small city in south-central Idaho known historically for its agricultural roots and role in the region’s dairy industry.
- 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c34be7a081909c9e98e7f7af7fde |
completed | April 21, 2026, 12:22 a.m. |
Created at: April 16, 2026, 12:43 p.m.