Triple
T5050996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lily Costner |
E113783
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Annie Costner |
E112198
|
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: Annie Costner | Statement: [Lily Costner, hasSibling, Annie Costner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annie Costner Context triple: [Lily Costner, hasSibling, Annie Costner]
-
A.
Annie Costner
chosen
Annie Costner is an American film producer and occasional actress, best known as the daughter of actor and filmmaker Kevin Costner.
-
B.
Lily Costner
Lily Costner is an American actress and singer best known as the daughter of actor Kevin Costner and for her occasional film and music appearances.
-
C.
Grace Costner
Grace Costner is one of American actor and filmmaker Kevin Costner’s daughters.
-
D.
Jennifer Connelly
Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
-
E.
Cindy Costner
Cindy Costner is an American actress and former wife of actor Kevin Costner, known for small roles in films such as "Dances with Wolves."
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7426fc8081908a8227f73168c235 |
completed | March 20, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfb4215c819086d0f4b412de9f2d |
completed | March 21, 2026, 5:04 p.m. |
Created at: March 20, 2026, 1:37 p.m.