Triple
T10938229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophie Rundle |
E258391
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | The Nest |
E895224
|
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: The Nest | Statement: [Sophie Rundle, appearsIn, The Nest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Nest Context triple: [Sophie Rundle, appearsIn, The Nest]
-
A.
The Nest
The Nest is an indoor sports arena that serves as the home venue for the Hornets basketball team.
-
B.
The Nest
"The Nest" is a film produced by Neal Dodson, best known as a psychological thriller about a family unraveling under mounting tension and secrets.
-
C.
The Nest
The Nest was an early 20th-century football ground in Norwich, England, best known as the former home of Norwich City F.C. before the club moved to Carrow Road.
-
D.
The Nest
chosen
"The Nest" is a British television drama series centered on a wealthy couple and a troubled teenage girl who enter a tense surrogacy arrangement.
-
E.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770b12a9881909305db49aa554a1b |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d722972c8190b14637dc9e52ce11 |
completed | April 18, 2026, 12:58 a.m. |
Created at: April 8, 2026, 9:23 p.m.