Triple
T22802642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Myrtle Swoyer |
E564438
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Swoyer |
—
|
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: Swoyer | Statement: [Anna Myrtle Swoyer, familyName, Swoyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swoyer Context triple: [Anna Myrtle Swoyer, familyName, Swoyer]
-
A.
Swoyer
chosen
Swoyer is a surname associated with individuals such as Nancy Walker.
-
B.
Sawyer
Sawyer is a surname of English origin commonly borne by individuals in English-speaking countries.
-
C.
Sawyer
Sawyer is a collaborative industrial robot arm developed by Rethink Robotics for flexible, safe automation tasks alongside human workers.
-
D.
Sawyer Valentini
Sawyer Valentini is the troubled young woman at the center of the psychological horror film "Unsane," whose involuntary commitment to a mental institution blurs the line between paranoia and reality.
-
E.
Parker Sawyers
Parker Sawyers is an American actor best known for portraying a young Barack Obama in the film "Southside with You" and for his work in various international film and television productions.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdf1e308190a05d0f61856be544 |
completed | April 29, 2026, 3:37 a.m. |
Created at: April 17, 2026, 3:31 p.m.