Triple
T19659661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Megan Stott |
E472046
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Izzy Richardson |
—
|
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: Izzy Richardson | Statement: [Megan Stott, portrays, Izzy Richardson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izzy Richardson Context triple: [Megan Stott, portrays, Izzy Richardson]
-
A.
Izzy Richardson
chosen
Izzy Richardson is a rebellious, artistic teenage girl whose defiance of her affluent suburban family’s expectations drives much of the emotional conflict in Celeste Ng’s novel *Little Fires Everywhere*.
-
B.
Izzy Morales
Izzy Morales is a brilliant but impulsive coder and entrepreneur who co-founds a disruptive tech startup in the television series "StartUp."
-
C.
Josie Lloyd
Josie Lloyd is an American actress known for her television work in the 1960s, including appearances on shows like "The Andy Griffith Show."
-
D.
Josie Clark
Josie Clark is a fictional character in Jojo Moyes' "Me Before You" series, known as Louisa Clark’s practical, outspoken mother.
-
E.
Samantha Eggar
Samantha Eggar is a British actress best known for her acclaimed, Oscar-nominated performance in the psychological thriller film "The Collector."
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6414993ac8190b6da3702b1924b24 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.