Triple
T2830281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilaire |
E62218
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Hilary |
E248674
|
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: Hilary | Statement: [Hilaire, hasVariant, Hilary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hilary Context triple: [Hilaire, hasVariant, Hilary]
-
A.
Hillary Clinton
Hillary Clinton is an American politician and diplomat who served as U.S. Secretary of State, U.S. senator from New York, First Lady, and the first woman to be a major party’s presidential nominee.
-
B.
Michelle
Michelle is a Fossil Group watch and accessories brand known for its fashion-forward, feminine designs and luxury-inspired styling.
-
C.
Hilary Geary Ross
chosen
Hilary Geary Ross is an American socialite, philanthropist, and society columnist known for her prominent role in New York and Palm Beach social circles.
-
D.
Condoleezza
Condoleezza is the distinctive given name of Condoleezza Rice, the American political scientist and former U.S. Secretary of State.
-
E.
Jane Pierce
Jane Pierce was the third wife of early English colonist John Rolfe, known for her connection to the Jamestown settlement in colonial Virginia.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebbde4881908dfa78e28c7018e0 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0312dd4848190b30f6fcc11c2c954 |
completed | March 10, 2026, 2:56 p.m. |
Created at: March 6, 2026, 10:01 p.m.