Triple
T5106699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Costner |
E115112
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Costner |
E20152
|
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: Costner | Statement: [Joe Costner, familyName, Costner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Costner Context triple: [Joe Costner, familyName, Costner]
-
A.
Joe Costner
Joe Costner is an American actor and the son of Academy Award–winning actor and filmmaker Kevin Costner.
-
B.
Liam Costner
Liam Costner is one of Kevin Costner’s children, known primarily for his connection to the famous American actor and filmmaker.
-
C.
Kevin Costner
chosen
Kevin Costner is an American actor and filmmaker known for leading roles in films such as "Dances with Wolves," "Field of Dreams," and "The Bodyguard."
-
D.
Hayes Costner
Hayes Costner is a person known primarily as a sibling of Cayden Costner.
-
E.
Kurt Russell
Kurt Russell is an American actor known for his versatile performances in films ranging from action and science fiction to drama and comedy, including iconic roles in movies like "Escape from New York," "The Thing," and "Tombstone."
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfb70320ac819088ba3b1da868d9a4 |
completed | March 22, 2026, 9:31 a.m. |
Created at: March 20, 2026, 1:41 p.m.