Triple
T3786070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gertrude Vanderbilt Whitney |
E85532
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Whitney |
E85532
|
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: Whitney | Statement: [Gertrude Vanderbilt Whitney, familyName, Whitney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitney Context triple: [Gertrude Vanderbilt Whitney, familyName, Whitney]
-
A.
Whitney
Whitney is an unincorporated community and census-designated place in the Las Vegas Valley of Clark County, Nevada.
-
B.
Whitney
Whitney is the multi-platinum 1987 studio album by Whitney Houston that solidified her status as a global pop and R&B superstar.
-
C.
Whitney
chosen
Whitney is a common English surname most famously associated with Eli Whitney, the American inventor of the cotton gin.
-
D.
Witney
Witney is a UK parliamentary constituency in Oxfordshire, historically represented by prominent Conservative politicians including former Prime Minister David Cameron.
-
E.
Witney
Witney is a historic market town in Oxfordshire, England, known for its traditional blanket-making industry and position on the River Windrush.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee42d2bc88190ab85529fcd1aa20a |
completed | March 9, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503eca8408190ae35aeffc2dc1e6c |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:13 p.m.