Triple
T20451370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddie Garland |
E501657
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Emily Drinkard |
—
|
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: Emily Drinkard | Statement: [Freddie Garland, spouse, Emily Drinkard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emily Drinkard Context triple: [Freddie Garland, spouse, Emily Drinkard]
-
A.
Emily Drinkard
chosen
Emily Drinkard, better known as Cissy Houston, is an American soul and gospel singer and the mother of Whitney Houston.
-
B.
Jeanie Drynan
Jeanie Drynan is an Australian actress best known for her film and television work, including a prominent role in the acclaimed comedy-drama "Muriel's Wedding."
-
C.
Emily Nelson
Emily Nelson is a mysterious, stylish, and secretive woman whose sudden disappearance drives the darkly comedic thriller plot of "A Simple Favor."
-
D.
Laura Bickford
Laura Bickford is an American film producer best known for her work on acclaimed independent and studio films, including the Oscar-winning drama "Traffic."
-
E.
Marla Hendricks
Marla Hendricks is a sharp-tongued, world-weary high school teacher on the TV series "Boston Public," known for her cynicism, dark humor, and deep care for her students beneath a tough exterior.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d0296ac819081e74c67d3cc6349 |
completed | April 20, 2026, 8:30 p.m. |
Created at: April 16, 2026, 11:32 a.m.