Triple
T22085514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drinkard family |
E545760
|
entity |
| Predicate | notableDescendant |
P4268
|
FINISHED |
| Object | Dee Dee Warwick |
—
|
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: Dee Dee Warwick | Statement: [Drinkard family, notableDescendant, Dee Dee Warwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dee Dee Warwick Context triple: [Drinkard family, notableDescendant, Dee Dee Warwick]
-
A.
Dee Dee Warwick
chosen
Dee Dee Warwick was an American soul and R&B singer known for hits in the 1960s and 1970s and for being part of the musical Warwick–Houston family.
-
B.
Dee Dee Sharp
Dee Dee Sharp is an American R&B singer best known for her early-1960s dance hits and contributions to the Philadelphia soul sound.
-
C.
Dee Dee
Dee Dee is Dexter’s exuberant and mischievous older sister in the animated series "Dexter’s Laboratory," known for constantly disrupting his scientific experiments.
-
D.
Dee Dee
Dee Dee is a Marvel Comics character associated with the Future Foundation, a think-tank of young geniuses founded by Reed Richards.
-
E.
Dee Dee
Dee Dee Blanchard was an American woman whose murder in 2015 exposed her long-term abuse of her daughter Gypsy Rose through Munchausen syndrome by proxy.
- 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128ba24ac819082fc4aa274553481 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.