Triple
T8800886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arianna Huffington |
E209402
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Arianna |
E586507
|
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: Arianna | Statement: [Arianna Huffington, givenName, Arianna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arianna Context triple: [Arianna Huffington, givenName, Arianna]
-
A.
Arianna
chosen
Arianna is a minor character in the animated TV series "The Cleveland Show," known as the sister of Donna Tubbs.
-
B.
Arielle
Arielle is a given name shared by various individuals, including Arielle Zuckerberg, a venture capitalist and younger sister of Meta co-founder Mark Zuckerberg.
-
C.
Ariana
Ariana is the first name of American pop singer and actress Ariana Grande, widely known for her powerful vocals and chart-topping hits.
-
D.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
E.
Maia
Maia is a fantasy novel by Richard Adams set in the same world as his book "Shardik," following the adventures of a young slave girl in a richly detailed, politically complex empire.
- 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_69ca836320e48190b5cf585b90a322c4 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5fb8aab88190befed16301e08efc |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf6f6fdd688190bf40bbde0be991e1 |
completed | April 3, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:44 p.m.