Triple
T11178710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Gardner |
E264480
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Ruby Gardner |
E915861
|
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: Ruby Gardner | Statement: [Rose Gardner, sibling, Ruby Gardner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruby Gardner Context triple: [Rose Gardner, sibling, Ruby Gardner]
-
A.
Ruby Gardner
Ruby Gardner is a hobbit of the Shire, the daughter of Samwise Gamgee and Rosie Cotton in J.R.R. Tolkien’s Middle-earth legendarium.
-
B.
Ruby Gardner
chosen
Ruby Gardner is a person known primarily as the sibling of Goldilocks Gardner.
-
C.
Amy Gardner
Amy Gardner is a British scriptwriter and producer known for her work in film and television and for her former marriage to actor Rufus Sewell.
-
D.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
-
E.
Joanna Cassidy
Joanna Cassidy is an American actress best known for her roles in films like Blade Runner and Who Framed Roger Rabbit, as well as numerous television appearances.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e899c6288190b39e090fa9cdc883 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f12fa07fc081909a42f9c19ad38511 |
completed | April 28, 2026, 10:07 p.m. |
Created at: April 8, 2026, 9:29 p.m.