Triple
T6150561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McFarland, USA |
E137188
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Kevin 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: Kevin Costner | Statement: [McFarland, USA, starring, Kevin Costner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Costner Context triple: [McFarland, USA, starring, Kevin Costner]
-
A.
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."
-
B.
Joe Costner
Joe Costner is an American actor and the son of Academy Award–winning actor and filmmaker Kevin Costner.
-
C.
Liam Costner
Liam Costner is one of Kevin Costner’s children, known primarily for his connection to the famous American actor and filmmaker.
-
D.
Hayes Costner
Hayes Costner is a person known primarily as a sibling of Cayden Costner.
-
E.
Jeff Bridges
Jeff Bridges is an acclaimed American actor known for his versatile performances in films such as "The Big Lebowski," "Crazy Heart," and "True Grit."
- 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_69c008a45d008190832a9e19f5d63406 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce329648190a03ba0233df841fa |
completed | March 22, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1360d84e081909ff6c06e3bd54aee |
completed | March 23, 2026, 12:46 p.m. |
Created at: March 22, 2026, 4:16 p.m.