Triple
T12846620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lana Morris |
E307192
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lana Morris |
E307192
|
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: Lana Morris | Statement: [Lana Morris, name, Lana Morris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lana Morris Context triple: [Lana Morris, name, Lana Morris]
-
A.
Lana Morris
chosen
Lana Morris was a British film and television actress known for her work in mid-20th-century comedies and dramas.
-
B.
Lana Peters
Lana Peters was the American name of Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin who later defected to the West and became a writer.
-
C.
Lauren Poultney
Lauren Poultney is a senior British police officer who serves as the Chief Constable of South Yorkshire Police.
-
D.
Maren Larae Morris
Maren Larae Morris is an American country and pop singer-songwriter known for hits like "My Church" and "The Bones" and for blending country, pop, and R&B influences.
-
E.
Lindsay Merrill
Lindsay Merrill is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Merrill.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b96f72881909090691e99bb2425 |
completed | May 3, 2026, 3:36 p.m. |
Created at: April 9, 2026, 5:36 p.m.