Triple
T18618193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mavericks |
E455082
|
entity |
| Predicate | hasNotableSurfer |
P132802
|
FINISHED |
| Object |
Sarah Gerhardt
Sarah Gerhardt is an American big-wave surfer best known as the first woman to surf the notoriously dangerous Mavericks break in Northern California.
|
E1442865
|
NE FINISHED |
How this triple was built (4 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: Sarah Gerhardt | Statement: [Mavericks, hasNotableSurfer, Sarah Gerhardt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Gerhardt Context triple: [Mavericks, hasNotableSurfer, Sarah Gerhardt]
-
A.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
B.
Michelle Rausch
Michelle Rausch is a fictional character from the romantic drama film "Two Lovers."
-
C.
Gretchen Kafoury
Gretchen Kafoury was an influential Portland, Oregon politician and activist known for her work on housing, social justice, and women's rights.
-
D.
Sarah Hallenbeck
Sarah Hallenbeck is a fictional character from the 1991 action film "The Last Boy Scout," known as the troubled yet resilient wife of private investigator Joe Hallenbeck.
-
E.
Sarah Roemer
Sarah Roemer is an American actress and former model best known for her role in the thriller film "Disturbia" and appearances in various television series and movies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sarah Gerhardt Triple: [Mavericks, hasNotableSurfer, Sarah Gerhardt]
Generated description
Sarah Gerhardt is an American big-wave surfer best known as the first woman to surf the notoriously dangerous Mavericks break in Northern California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah Gerhardt Target entity description: Sarah Gerhardt is an American big-wave surfer best known as the first woman to surf the notoriously dangerous Mavericks break in Northern California.
-
A.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
B.
Michelle Rausch
Michelle Rausch is a fictional character from the romantic drama film "Two Lovers."
-
C.
Gretchen Kafoury
Gretchen Kafoury was an influential Portland, Oregon politician and activist known for her work on housing, social justice, and women's rights.
-
D.
Sarah Hallenbeck
Sarah Hallenbeck is a fictional character from the 1991 action film "The Last Boy Scout," known as the troubled yet resilient wife of private investigator Joe Hallenbeck.
-
E.
Sarah Roemer
Sarah Roemer is an American actress and former model best known for her role in the thriller film "Disturbia" and appearances in various television series and movies.
- F. None of above. chosen
Provenance (5 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d06c1f8819094fbfa56eca07eaa |
completed | April 19, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c56e355481908d92db0b871d58dd |
completed | May 16, 2026, 7:28 p.m. |
| NEDg | Description generation | batch_6a08c6877618819096a3621c19bfc9f2 |
completed | May 16, 2026, 7:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c70c109c8190b4b38ea86f963f38 |
completed | May 16, 2026, 7:35 p.m. |
Created at: April 10, 2026, 11:46 a.m.