Triple
T21405432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristin Davis |
E528019
|
entity |
| Predicate | adoptedChild |
P10183
|
FINISHED |
| Object | Gemma Rose Davis |
—
|
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: Gemma Rose Davis | Statement: [Kristin Davis, adoptedChild, Gemma Rose Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemma Rose Davis Context triple: [Kristin Davis, adoptedChild, Gemma Rose Davis]
-
A.
Gemma Rose Davis
chosen
Gemma Rose Davis is the adopted daughter of American actress Kristin Davis.
-
B.
Gemma Jackson
Gemma Jackson is a British production designer renowned for her work on major films and television series, including the 2019 live-action adaptation of Disney's "Aladdin."
-
C.
Gemma Johnson
Gemma Johnson is the central protagonist of the television series "The Neighborhood," around whom the show's primary storylines and character dynamics revolve.
-
D.
Gemma James
Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
-
E.
Julia Davis
Julia Davis is a British comedian, actress, writer, and director known for her darkly comic television work, including creating and starring in the series "Nighty Night."
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1aea22881909a0cc754e417fbf3 |
completed | April 22, 2026, 11:31 a.m. |
Created at: April 16, 2026, 5:31 p.m.