Triple
T18738215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Kendall |
E458221
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Gemma Baker |
—
|
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 Baker | Statement: [Jill Kendall, creator, Gemma Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gemma Baker Context triple: [Jill Kendall, creator, Gemma Baker]
-
A.
Gemma Baker
chosen
Gemma Baker is a television writer and producer best known for co-creating and executive producing the CBS sitcom "Mom."
-
B.
Gemma Ward
Gemma Ward is an Australian fashion model and actress who rose to prominence in the early 2000s as one of the youngest and most influential faces in high-fashion modeling.
-
C.
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."
-
D.
Gemma Whelan
Gemma Whelan is a British actress and comedian best known for playing Yara Greyjoy in the television series "Game of Thrones."
-
E.
Gemma James
Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768b80ac8190bc05628d64f86fc9 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.