Triple
T7106047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navalny |
E165585
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Maya Daisy Hawke |
E501701
|
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: Maya Daisy Hawke | Statement: [Navalny, editedBy, Maya Daisy Hawke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Daisy Hawke Context triple: [Navalny, editedBy, Maya Daisy Hawke]
-
A.
Mara Wilson
Mara Wilson is an American former child actress and writer best known for her roles in films like "Matilda," "Mrs. Doubtfire," and "Miracle on 34th Street."
-
B.
Maya Ray Thurman Hawke
chosen
Maya Ray Thurman Hawke is an American actress, model, and singer-songwriter best known for her role as Robin Buckley in the Netflix series "Stranger Things."
-
C.
Kara Thrace
Kara Thrace, also known by her callsign "Starbuck," is a fiercely skilled but emotionally turbulent Viper pilot and central figure in the reimagined Battlestar Galactica series.
-
D.
Lara Breay
Lara Breay is a film producer best known for her work on the animated superhero comedy "Megamind."
-
E.
Maya Forbes
Maya Forbes is an American screenwriter, director, and producer known for films such as "Infinitely Polar Bear" and for her work on television series like "The Larry Sanders Show."
- 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_69c6888120f081908f8f01b201dc4a4c |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5b892008190827fa1e5eab2e558 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79cb0ee3481908f2f7efb5e9d1714 |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:42 p.m.