Triple
T22917031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana White |
E568759
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Savannah White |
—
|
NE NERFINISHED |
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: Savannah White | Statement: [Dana White, hasChild, Savannah White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savannah White Context triple: [Dana White, hasChild, Savannah White]
-
A.
Savannah White
chosen
Savannah White is one of the children of UFC president Dana White and a member of his relatively private family.
-
B.
Savannah Jackson
Savannah Jackson is a successful, independent television producer navigating love, friendship, and self-discovery in Terry McMillan’s novel and its film adaptation "Waiting to Exhale."
-
C.
Samaria Smith
Samaria Smith is the daughter of American rapper and actor LL Cool J.
-
D.
Cassandra Whitaker
Cassandra Whitaker is a recurring character in the literary work "The Golden Apples," contributing to its interconnected narrative of small-town Southern life.
-
E.
Savannah Curtis
Savannah Curtis is a compassionate and idealistic young woman who becomes the love interest of soldier John Tyree in Nicholas Sparks' romantic drama "Dear John."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807a14648190b5d5f7d926f19320 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.