Triple
T8661675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Dickie |
E205561
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Nest |
E710623
|
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: [Kate Dickie, notableWork, The Nest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Nest Context triple: [Kate Dickie, notableWork, 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
chosen
"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.
Nest
Nest is a smart home technology company best known for its internet-connected thermostats, security cameras, and other home automation products.
-
D.
The Old Nest
The Old Nest is a 1921 American silent drama film in which actor Cullen Landis played a prominent role.
-
E.
The Egg
The Egg is an iconic, egg-shaped performing arts venue in Albany, New York, known for its distinctive modernist architecture and role as a cultural center.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc487147248190b5f1bff836a11e68 |
completed | March 31, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccfda1dc8190a3b93b1c7e813f33 |
completed | April 2, 2026, 8:09 p.m. |
Created at: March 30, 2026, 6:30 p.m.