Triple
T12278571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas (TV series) |
E292655
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Ken Kercheval |
E504860
|
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: Ken Kercheval | Statement: [Dallas (TV series), leadActor, Ken Kercheval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Kercheval Context triple: [Dallas (TV series), leadActor, Ken Kercheval]
-
A.
Ken Kercheval
chosen
Ken Kercheval was an American actor best known for his long-running role as Cliff Barnes on the television series "Dallas."
-
B.
Jeremy Kemp
Jeremy Kemp was a British character actor known for his roles in films such as "The Blue Max," "A Bridge Too Far," and numerous television dramas.
-
C.
Langdon Gilkey
Langdon Gilkey was an American theologian and author known for his reflections on faith, ethics, and human nature, particularly shaped by his experiences as a civilian internee in China during World War II.
-
D.
Christopher Keene
Christopher Keene was an American conductor best known for his leadership in opera, including his tenure heading major U.S. opera companies and championing contemporary works.
-
E.
Dan Kircher
Dan Kircher is a film editor known for his work on feature films such as the horror-comedy "Come to Daddy."
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cf1ab8c8190a51f498bfda957d8 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6f46f08190839ba07ef6fac984 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.