Triple
T14364233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Garland |
E356185
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Jessica Garland |
E308643
|
NE FINISHED |
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: Jessica Garland | Statement: [Rebecca Garland, relative, Jessica Garland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jessica Garland Context triple: [Rebecca Garland, relative, Jessica Garland]
-
A.
Jessica Garland
chosen
Jessica Garland is one of the daughters of U.S. Attorney General and former federal judge Merrick Garland.
-
B.
Rebecca Garland
Rebecca Garland is one of the children of Merrick Garland, the U.S. Attorney General and former federal judge.
-
C.
Carrie Wells
Carrie Wells is the brilliant NYPD detective with hyperthymesia (a perfect memory) portrayed by Poppy Montgomery in the television series "Unforgettable."
-
D.
Lila Garrett
Lila Garrett was an American television producer, screenwriter, and political activist known for her work on socially conscious TV projects and her outspoken progressive views.
-
E.
Ada Riggs
Ada Riggs was the namesake of Ada County in Idaho, likely a locally significant woman whose name was chosen to honor her or her family’s role in the area’s early history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550e677c8190837c3b9ccb64f0cd |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.