Triple
T15632291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trees Lounge |
E375844
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Carol Kane |
E251200
|
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: Carol Kane | Statement: [Trees Lounge, starring, Carol Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Kane Context triple: [Trees Lounge, starring, Carol Kane]
-
A.
Carol Kane
chosen
Carol Kane is an American actress known for her distinctive voice and quirky, offbeat roles in film, television, and theater, including acclaimed performances in works like "Hester Street," "Taxi," and "The Princess Bride."
-
B.
Deborah Rush
Deborah Rush is an American actress known for her character roles in film, television, and theater, including appearances in comedies and independent productions.
-
C.
Frances Miles
Frances Miles was the mother of American rock and funk drummer and singer Buddy Miles.
-
D.
Linda Purl
Linda Purl is an American actress and singer best known for her roles on television series such as "Happy Days," "Matlock," and "The Office."
-
E.
Debbi Morgan
Debbi Morgan is an American actress best known for her Emmy-winning role as Angie Hubbard on the soap opera "All My Children" and for her work in film and television spanning several decades.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ebe275c819094473d37cf33c7d0 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:14 a.m.