Triple
T7035972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Awashanks |
E163384
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Peter Awashanks |
E163384
|
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: Peter Awashanks | Statement: [Peter Awashanks, name, Peter Awashanks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Awashanks Context triple: [Peter Awashanks, name, Peter Awashanks]
-
A.
Peter Awashanks
chosen
Peter Awashanks was a historical figure associated by kinship with the Sakonnet Wampanoag leader Awashonks in colonial New England.
-
B.
Joseph Weishaar
Joseph Weishaar is an American architect and designer best known for winning the competition to create the National World War I Memorial in Washington, D.C.
-
C.
Eric Lamonsoff
Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
-
D.
Ray Shostak
Ray Shostak is a British public policy and performance management expert known for his leadership roles in government, including directing initiatives to improve public service delivery.
-
E.
Gary Tinterow
Gary Tinterow is an American art historian and museum curator best known for leading the Museum of Fine Arts, Houston and for his scholarship on 19th-century European art.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e220508c8190b8950cf38280b8c2 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78863c2fc8190b9b54613968742e1 |
completed | March 28, 2026, 7:50 a.m. |
Created at: March 27, 2026, 2:36 p.m.