Triple
T13022000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edna Garrett |
E326193
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Natalie Green |
E249895
|
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: Natalie Green | Statement: [Edna Garrett, associatedWith, Natalie Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalie Green Context triple: [Edna Garrett, associatedWith, Natalie Green]
-
A.
Natalie Green
chosen
Natalie Green is a cheerful, quick-witted student and aspiring writer who serves as one of the core teen characters on the classic TV sitcom "The Facts of Life."
-
B.
Natalie Holt
Natalie Holt is a British composer and violinist known for her acclaimed scores for television and film, including major franchises in the Star Wars and Marvel universes.
-
C.
Natalie Brown
Natalie Brown is the younger sister of Louise Brown, the world's first baby conceived via in vitro fertilization.
-
D.
Natalie Teeger
Natalie Teeger is a main character on the television series "Monk," serving as Adrian Monk’s loyal assistant and later becoming his close friend and confidante.
-
E.
Natalie Evans
Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73053a1888190a234e8c119a4202a |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 8:52 p.m.