Triple
T11313953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Leslie |
E267913
|
entity |
| Predicate | characterPortrayed |
P1507
|
FINISHED |
| Object | Maia Rindell |
E782001
|
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: Maia Rindell | Statement: [Rose Leslie, characterPortrayed, Maia Rindell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maia Rindell Context triple: [Rose Leslie, characterPortrayed, Maia Rindell]
-
A.
Maia Rindell
chosen
Maia Rindell is a young lawyer whose career and personal life are upended by a massive financial scandal involving her family in the legal drama series "The Good Fight."
-
B.
Maia Morgenstern
Maia Morgenstern is a Romanian film and theatre actress internationally known for her role as Mary in Mel Gibson’s "The Passion of the Christ" and for her acclaimed work on the Romanian stage.
-
C.
Alexandra Shipp
Alexandra Shipp is an American actress and singer best known for roles in films such as "X-Men: Apocalypse," "Love, Simon," and the musical drama "Tick, Tick... Boom!".
-
D.
Anwen Rees-Myers
Anwen Rees-Myers is a British film producer and the widow of acclaimed actor John Hurt.
-
E.
Ryan Kiera Armstrong
Ryan Kiera Armstrong is an American child actress known for her roles in films such as "The Tomorrow War" and various television series.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c2c7b081909af8acebc8aa93aa |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e542f294988190bb456326e4184dcb |
completed | April 19, 2026, 9:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.