Triple
T21993914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smithy |
E543153
|
entity |
| Predicate | screenPartner |
P46690
|
FINISHED |
| Object | Nessa Jenkins |
—
|
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: Nessa Jenkins | Statement: [Smithy, screenPartner, Nessa Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nessa Jenkins Context triple: [Smithy, screenPartner, Nessa Jenkins]
-
A.
Nessa Jenkins
chosen
Nessa Jenkins is a deadpan, no-nonsense Welsh character from the British sitcom "Gavin & Stacey," known for her eccentric stories and iconic catchphrases.
-
B.
Jennifer Jenkins
Jennifer Jenkins is known as the wife of musician Tom DeLonge, co-founder and former guitarist of the rock band Blink-182.
-
C.
Samantha Jenkins
Samantha Jenkins is known as the sister of American actor Maxwell Jenkins.
-
D.
Tamara Jenkins
Tamara Jenkins is an American filmmaker and screenwriter best known for her sharp, character-driven independent films such as "Slums of Beverly Hills" and "The Savages."
-
E.
Megs Jenkins
Megs Jenkins was a British character actress known for her warm, often maternal roles in mid-20th-century film, television, and theatre.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127639bf48190800b3fa3c1527983 |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 16, 2026, 8:17 p.m.