Triple
T18260739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Brown |
E437346
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brown |
—
|
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: Brown | Statement: [Ralph Brown, familyName, Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brown Context triple: [Ralph Brown, familyName, Brown]
-
A.
Brown
chosen
Brown is a common English-language surname of Anglo-Saxon origin, typically derived from a nickname referring to hair color, complexion, or clothing.
-
B.
Grey
Grey is a common English surname borne by numerous notable figures across entertainment, politics, and history.
-
C.
Grey
Grey is a vast rural federal electoral division in South Australia, covering much of the state's northern and western regions.
-
D.
Grey
"Grey" is a track from Travis Scott’s 2014 mixtape *Days Before Rodeo*, showcasing his atmospheric, moody production and introspective lyrics.
-
E.
Beige
Beige is a young adult novel by Cecil Castellucci that explores themes of identity, family, and punk culture through the story of a reserved teen sent to spend the summer with her estranged musician father in Los Angeles.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7591b4819083f2b29d60298747 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.