Triple
T15791057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayden White |
E382863
|
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: [Hayden White, familyName, White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Context triple: [Hayden 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.
White
White is a small town in Bartow County, Georgia, known for its rural character and proximity to Cartersville in the northwestern part of the state.
-
C.
White
"White" is a 2019 non-fiction essay collection by Bret Easton Ellis in which he offers provocative cultural criticism and personal reflections on contemporary politics, media, and identity.
-
D.
Blue
Blue is the internal codename Microsoft used during development of the Windows 8.1 operating system update.
-
E.
Blue
Blue is the entry-level tier in Uber's driver rewards program, offering basic benefits and recognition for new or less frequent drivers.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d819c881908bc43a6124a1bb2e |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90a87e3c8190a1c5b13cbfdff54a |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.