Triple
T16072566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Descendants |
E389898
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Amara Miller |
E389898
|
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: Amara Miller | Statement: [The Descendants, castMember, Amara Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amara Miller Context triple: [The Descendants, castMember, Amara Miller]
-
A.
Amara Miller
chosen
Amara Miller is an American actress best known for her breakout role as the younger daughter of George Clooney's character in the acclaimed film "The Descendants."
-
B.
Amaire Johnson
Amaire Johnson is a writer known for contributing to the work "Bounce Back."
-
C.
Patina Miller
Patina Miller is an American actress and singer known for her work on television, film, and Broadway, including a Tony-winning performance in the musical "Pippin."
-
D.
Karima McAdams
Karima McAdams is a French-Moroccan actress and model known for her roles in film and television, including the political thriller series "Deep State."
-
E.
Mimi Thompson
Mimi Thompson is the wife of American pop artist James Rosenquist.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183bf6c488190b0099a00f13f2a69 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec4d9808190a3d1bfc8f3d73168 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.