Triple
T16571569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Austin |
E402600
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Sarah Austin |
unclear NED1
|
NE FINISHED |
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: Sarah Austin | Statement: [Sarah Austin, name, Sarah Austin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah Austin Context triple: [Sarah Austin, name, Sarah Austin]
-
A.
Sarah Austin
Sarah Austin was a 19th-century English translator and writer known for her influential translations of German works and her role in Victorian intellectual circles.
-
B.
Sarah Austin
Sarah Austin is the wife of John Barry, known primarily in relation to her marriage to the acclaimed film composer.
-
C.
Sarah Austin
Sarah Austin was the wife of American Revolutionary War naval hero Commodore John Barry.
-
D.
Teri Austin
Teri Austin is a Canadian actress best known for her role as the scheming Jill Bennett on the prime-time soap opera "Knots Landing."
-
E.
Sarah Hawkins
Sarah Hawkins is a hardworking, widowed human mother who runs the Benbow Inn and raises her adventurous son Jim in Disney’s animated film “Treasure Planet.”
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (3 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35958d49c8190b995188240fb355b |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b278f85081909b3dd5ae5dbc4f8a |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:16 a.m.