Triple
T7049392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two for the Road |
E163725
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Nadia Gray |
E572087
|
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: Nadia Gray | Statement: [Two for the Road, castMember, Nadia Gray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nadia Gray Context triple: [Two for the Road, castMember, 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 Bishop
Nadia Bishop is the daughter of Grenadian revolutionary leader and former Prime Minister Maurice Bishop.
-
C.
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."
-
D.
Kelly Grayson
Kelly Grayson is a central character on the science fiction comedy series "The Orville," serving as the ship's first officer and the ex-wife of Captain Ed Mercer.
-
E.
Nina Blount
Nina Blount is a glamorous, naive young socialite navigating the excesses and emotional upheavals of 1930s high society in the film "Bright Young Things."
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e24d5e8c8190b37e56107e6da8ab |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e50580c08190aa737043ad7520a0 |
completed | March 28, 2026, 2:26 p.m. |
Created at: March 27, 2026, 2:37 p.m.