Triple
T20076984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Sister's Keeper |
E499892
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Abigail Breslin |
—
|
NE NERFINISHED |
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: Abigail Breslin | Statement: [My Sister's Keeper, stars, Abigail Breslin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abigail Breslin Context triple: [My Sister's Keeper, stars, Abigail Breslin]
-
A.
Abigail Breslin
chosen
Abigail Breslin is an American actress who gained prominence as a child star in films like "Little Miss Sunshine" and has continued to work in both film and television.
-
B.
Debby Ryan
Debby Ryan is an American actress and singer best known for her leading roles in Disney Channel series like "Jessie" and films such as "Radio Rebel" and "Insatiable."
-
C.
Madelaine Petsch
Madelaine Petsch is an American actress best known for playing Cheryl Blossom on the television series "Riverdale."
-
D.
Chloë Grace Moretz
Chloë Grace Moretz is an American actress known for her versatile performances in films such as "Kick-Ass," "Let Me In," and "If I Stay."
-
E.
Dakota Fanning
Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643d5238819098b7d4e4e2c8dd67 |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.