Triple
T22794238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Bretter |
E564196
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Rachel Jansen |
—
|
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: Rachel Jansen | Statement: [Peter Bretter, associatedWith, Rachel Jansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Jansen Context triple: [Peter Bretter, associatedWith, Rachel Jansen]
-
A.
Rachel Jansen
chosen
Rachel Jansen is a kind-hearted hotel receptionist in Hawaii who becomes the new love interest of the heartbroken protagonist in the romantic comedy film "Forgetting Sarah Marshall."
-
B.
Laura Jansen
Laura Jansen is a Dutch-American singer-songwriter and pianist known for her emotive indie-pop songs and delicate, introspective vocals.
-
C.
Jessica De Gouw
Jessica De Gouw is an Australian actress known for her work in film and television, including roles in series like "Arrow" and "Dracula."
-
D.
Lisa Janssen
Lisa Janssen is a musician best known for her role as a past member of the influential indie rock band Neutral Milk Hotel.
-
E.
Abigail Janssen
Abigail Janssen is a fictional character from the science fiction television series "The Titan."
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd81794819091b528600e322d7b |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.