Triple
T20808472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Beds |
E512231
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Gene Lockhart |
—
|
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: Gene Lockhart | Statement: [Twin Beds, hasCastMember, Gene Lockhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gene Lockhart Context triple: [Twin Beds, hasCastMember, Gene Lockhart]
-
A.
Gene Lockhart
chosen
Gene Lockhart was a Canadian-American character actor known for his prolific work in Hollywood films and on stage during the 1930s and 1940s.
-
B.
Leon Wilkeson
Leon Wilkeson was the longtime bassist for the Southern rock band Lynyrd Skynyrd, known for his melodic playing and distinctive stage presence.
-
C.
Tim Lockwood
Tim Lockwood is the eccentric inventor father of protagonist Flint Lockwood in the animated film "Cloudy with a Chance of Meatballs."
-
D.
Louis Kane
Louis Kane is an American entrepreneur best known as a co-founder of the bakery-café chain Panera Bread.
-
E.
Sam Merlotte
Sam Merlotte is a shapeshifting bar owner and central figure in the supernatural drama series "True Blood."
- 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d0a2a081908fb0e3d890e87aaf |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:40 p.m.