Triple
T20291587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigham |
E510038
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Briggam |
—
|
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: Briggam | Statement: [Brigham, hasVariantForm, Briggam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briggam Context triple: [Brigham, hasVariantForm, Briggam]
-
A.
Brigham
chosen
Brigham is a masculine given name most notably borne by Brigham Young, the 19th-century American religious leader and second president of The Church of Jesus Christ of Latter-day Saints.
-
B.
Kittredge
Kittredge is an English-language surname borne by various notable figures, including American writer Charmian Kittredge London.
-
C.
Leahey
Leahey is a surname variant of Leahy, an Irish family name of Gaelic origin.
-
D.
Talmage
Talmage is a given name and surname of English origin that appears as the middle name of American socialite Madeleine Talmage Force.
-
E.
Fairley
Fairley is a surname and given name, often considered a variant spelling of Farley, that appears in English-speaking countries.
- 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67700c024819091205f5b0a8648e3 |
completed | April 20, 2026, 6:57 p.m. |
Created at: April 16, 2026, 11:12 a.m.