Triple
T4505249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Little Lies |
E101316
|
entity |
| Predicate | characterFocus |
P31
|
FINISHED |
| Object | Renata Klein |
E207152
|
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: Renata Klein | Statement: [Big Little Lies, characterFocus, Renata Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Renata Klein Context triple: [Big Little Lies, characterFocus, Renata Klein]
-
A.
Renata Klein
chosen
Renata Klein is a wealthy, high-powered executive and fiercely protective mother featured in the television series "Big Little Lies."
-
B.
Daniela Melchior
Daniela Melchior is a Portuguese actress best known internationally for her role as Ratcatcher 2 in the superhero film "The Suicide Squad."
-
C.
Renata
Renata is a young Venetian woman who becomes the poignant love interest of an aging American colonel in Ernest Hemingway’s novel "Across the River and Into the Trees."
-
D.
Renata
Renata is a vampire in the Twilight series who serves the Volturi as a powerful bodyguard with a psychic ability to repel physical attacks.
-
E.
Renata Kallosh
Renata Kallosh is a theoretical physicist known for her influential work in supergravity, string theory, and cosmology.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56fe17608190ae5dc27052b7c337 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f760658819085ca8c631894b486 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.