Triple
T20643741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deena |
E507296
|
entity |
| Predicate | hasLinguisticForm |
P7161
|
FINISHED |
| Object | Deena |
—
|
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: Deena | Statement: [Deena, hasLinguisticForm, Deena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deena Context triple: [Deena, hasLinguisticForm, Deena]
-
A.
Deena
chosen
Deena is a feminine given name, often considered a variant of Dina, used in various cultures.
-
B.
Deena Jones
Deena Jones is a central character in the musical and film "Dreamgirls," a member of the girl group modeled on The Supremes who rises to lead stardom amid personal and professional conflicts.
-
C.
Deana
Deana is a feminine given name most notably associated with American singer and actress Deana Martin, the daughter of entertainer Dean Martin.
-
D.
Deena Christian
Deena Christian is the mother of Channon Christian, a young woman whose 2007 murder in Knoxville, Tennessee, drew widespread national attention.
-
E.
Deena Johnson
Deena Johnson is the central protagonist of the Fear Street film trilogy, a determined teen who uncovers and confronts the dark curse haunting the town of Shadyside.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1d0be481909e090193dcfd9cf6 |
completed | April 20, 2026, 10:56 p.m. |
Created at: April 16, 2026, 11:43 a.m.