Triple
T1025118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Byron R. White |
E22122
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | White |
E86909
|
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: White | Statement: [Byron R. White, familyName, White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Context triple: [Byron R. White, familyName, White]
-
A.
White
chosen
White is a common English surname borne by numerous notable individuals across politics, arts, sciences, and other fields.
-
B.
Blue
Blue is the anthropomorphic blue horse who serves as the official mascot of the NFL’s Indianapolis Colts.
-
C.
Blue
Blue is the costumed blue owl that serves as the official mascot of Wellesley College.
-
D.
Blue
Blue is a critically acclaimed 1971 folk album by Joni Mitchell, widely regarded as one of the greatest and most influential records in popular music history.
-
E.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bba40f88190b80010a837dfb1cc |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:41 p.m.