Triple
T21545196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homer Drew |
E531604
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Dana Drew |
—
|
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: Dana Drew | Statement: [Homer Drew, relative, Dana Drew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dana Drew Context triple: [Homer Drew, relative, Dana Drew]
-
A.
Dana Drew
chosen
Dana Drew is a member of the Drew family best known as one of the children of longtime college basketball coach Homer Drew.
-
B.
Drew Shirley
Drew Shirley is an American rock guitarist best known as a longtime member of the alternative rock band Switchfoot.
-
C.
Darin Scott
Darin Scott is an American filmmaker and screenwriter known for his work on crime and thriller films, including co-writing the 2006 action drama "Waist Deep."
-
D.
Darin Cunningham
Darin Cunningham is an electronic music producer and DJ best known for his experimental work under the moniker Actress.
-
E.
Tony Dawsey
Tony Dawsey is a renowned American mastering engineer known for his work on numerous hip-hop and R&B albums.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.