Triple
T22727264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Drake |
E562028
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Gabrielle Drake |
—
|
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: Gabrielle Drake | Statement: [Nick Drake, sibling, Gabrielle Drake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabrielle Drake Context triple: [Nick Drake, sibling, Gabrielle Drake]
-
A.
Gabrielle Drake
chosen
Gabrielle Drake is a British actress known for her roles in 1960s and 1970s film and television, including the cult sci-fi series "UFO."
-
B.
Gabrielle Ryan
Gabrielle Ryan is a British actress known for her role in the crime drama series "Power Book IV: Force."
-
C.
Gabrielle Starr
Gabrielle Starr is an American literary scholar and academic administrator who serves as the president of Pomona College.
-
D.
Gabrielle Taurek
Gabrielle Taurek is an American actress and producer best known for her work in independent films and her long-term partnership with filmmaker Bob Rafelson.
-
E.
Gabrielle Darley
Gabrielle Darley is the real-life woman whose story of prostitution, murder, and attempted redemption inspired the central character in the 1925 silent film *The Red Kimona*.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792a2ee48190bfbdde1a72adfd25 |
completed | April 29, 2026, 3:21 a.m. |
Created at: April 17, 2026, 3:20 p.m.