Triple
T4505242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Little Lies |
E101316
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Zoë Kravitz |
E171187
|
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: Zoë Kravitz | Statement: [Big Little Lies, stars, Zoë Kravitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoë Kravitz Context triple: [Big Little Lies, stars, Zoë Kravitz]
-
A.
Zoë Kravitz
chosen
Zoë Kravitz is an American actress, singer, and model known for roles in films like "Mad Max: Fury Road," "Fantastic Beasts," and "The Batman," as well as for fronting the band Lolawolf.
-
B.
Mia Kirshner
Mia Kirshner is a Canadian actress known for her dark, nuanced performances in film and television, including her notable role in the crime drama "The Black Dahlia."
-
C.
Suki Waterhouse
Suki Waterhouse is an English model, actress, and singer known for her fashion work, film roles, and music career.
-
D.
Zendaya
Zendaya is an American actress and singer best known for her acclaimed, Emmy-winning performance as Rue Bennett in the HBO drama series "Euphoria."
-
E.
Hunter Schafer
Hunter Schafer is an American model, actress, and LGBTQ+ activist best known for her breakout role as Jules Vaughn in the HBO series "Euphoria."
- 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_69bdb901d6448190a2c89c0e1e9fbb9d |
completed | March 20, 2026, 9:15 p.m. |
Created at: March 20, 2026, 1:01 p.m.