Triple
T22992444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nadia Gray |
E572087
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nadia Gray |
—
|
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: Nadia Gray | Statement: [Nadia Gray, name, Nadia Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadia Gray Context triple: [Nadia Gray, name, Nadia Gray]
-
A.
Nadia Gray
chosen
Nadia Gray was a Romanian-born actress best known internationally for her role in Federico Fellini’s classic film "La Dolce Vita."
-
B.
Nadia Blye
Nadia Blye is the intellectually driven, politically engaged war correspondent-turned-academic who serves as the central protagonist in David Hare’s play "The Vertical Hour."
-
C.
Nadia Bishop
Nadia Bishop is the daughter of Grenadian revolutionary leader and former Prime Minister Maurice Bishop.
-
D.
Angelica Ross
Angelica Ross is an American actress, producer, and transgender rights advocate best known for her groundbreaking roles in series like "Pose" and "American Horror Story."
-
E.
Natasha Riehle
Natasha Riehle is known primarily as the wife of the late Oscar-winning British playwright and screenwriter Ronald Harwood.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f017a88190b02d0649a3af5d99 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.