Triple
T21862964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lana Clarkson |
E539813
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lana Clarkson |
—
|
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: Lana Clarkson | Statement: [Lana Clarkson, name, Lana Clarkson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lana Clarkson Context triple: [Lana Clarkson, name, Lana Clarkson]
-
A.
Lana Clarkson
chosen
Lana Clarkson was an American actress and model best known for her roles in 1980s fantasy films and for her highly publicized 2003 murder by music producer Phil Spector.
-
B.
Natalie Strout
Natalie Strout is a central character in the film "In the Bedroom," whose troubled relationship and tragic fate drive much of the movie’s emotional and dramatic tension.
-
C.
Carly Evans
Carly Evans is an American actress and the sister of actor Chris Evans.
-
D.
Chelcie Ross
Chelcie Ross is an American character actor known for his supporting roles in films such as "Hoosiers," "Major League," and "Rudy."
-
E.
Lani Groves
Lani Groves is a vocalist known for her performance of the song "It Ain't No Use."
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63beb00819092b8ec3a8ef55a39 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.