Triple
T17565030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Val Edward Kilmer |
E427787
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Mark Kilmer |
—
|
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: Mark Kilmer | Statement: [Val Edward Kilmer, sibling, Mark Kilmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Kilmer Context triple: [Val Edward Kilmer, sibling, Mark Kilmer]
-
A.
Mark Kilmer
chosen
Mark Kilmer is the brother of American actor Val Kilmer and a member of the Kilmer family, which has ties to the entertainment industry.
-
B.
Derek Kilmer
Derek Kilmer is an American politician and Democratic member of the U.S. House of Representatives from Washington state.
-
C.
Chris Loken
Chris Loken is the mother of American actress and model Kristanna Loken.
-
D.
Mike Donnelly
Mike Donnelly is the well-meaning but accident-prone protagonist of the comedy film "Black Sheep," whose misadventures jeopardize his brother’s political campaign.
-
E.
Mark Levengood
Mark Levengood is a Finnish-Swedish television host, journalist, and author known for his warm, humorous style and prominent presence in Swedish media.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592ce42c8190a54a0a328c5e8ffc |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.