Triple
T933900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Costner |
E20152
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Grace Costner
Grace Costner is one of American actor and filmmaker Kevin Costner’s daughters.
|
E115584
|
NE FINISHED |
How this triple was built (4 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: Grace Costner | Statement: [Kevin Costner, hasChild, Grace Costner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Costner Context triple: [Kevin Costner, hasChild, Grace Costner]
-
A.
Annie Costner
Annie Costner is an American film producer and occasional actress, best known as the daughter of actor and filmmaker Kevin Costner.
-
B.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
C.
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.
-
D.
Daryl Hannah
Daryl Hannah is an American actress best known for her roles in films such as "Splash," "Blade Runner," and "Kill Bill."
-
E.
Lindsay Crouse
Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Grace Costner Triple: [Kevin Costner, hasChild, Grace Costner]
Generated description
Grace Costner is one of American actor and filmmaker Kevin Costner’s daughters.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grace Costner Target entity description: Grace Costner is one of American actor and filmmaker Kevin Costner’s daughters.
-
A.
Annie Costner
Annie Costner is an American film producer and occasional actress, best known as the daughter of actor and filmmaker Kevin Costner.
-
B.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
C.
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.
-
D.
Daryl Hannah
Daryl Hannah is an American actress best known for her roles in films such as "Splash," "Blade Runner," and "Kill Bill."
-
E.
Lindsay Crouse
Lindsay Crouse is an American actress known for her work in film, television, and theater, including an Academy Award–nominated role in "Places in the Heart."
- F. None of above. chosen
Provenance (5 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3627ccc8190a836515b2ea85ec5 |
completed | March 1, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd3444881908615a7962b4eef67 |
completed | March 7, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69ac1d2fc87c8190938cc8ce31d52343 |
completed | March 7, 2026, 12:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1db7ef408190b4f7fd04c3c4c111 |
completed | March 7, 2026, 12:44 p.m. |
Created at: March 1, 2026, 7:40 p.m.