Triple
T16559999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie Sayre |
E402310
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sayre |
E454485
|
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: Sayre | Statement: [Marjorie Sayre, familyName, Sayre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayre Context triple: [Marjorie Sayre, familyName, Sayre]
-
A.
Sayre
chosen
Sayre is a small borough in northern Pennsylvania known historically as a railroad town and regional service center near the New York state border.
-
B.
Fort Smith
Fort Smith is a small town in the Northwest Territories of Canada, located near the Alberta border and known as a gateway to Wood Buffalo National Park and the Slave River rapids.
-
C.
Ruston
Ruston is a surname most notably associated with Joseph Victor Anthony Ruston, better known as the actor and humanitarian Audrey Hepburn’s father.
-
D.
Searcy
Searcy is a surname of English origin borne by various individuals, including American actor Nick Searcy.
-
E.
Worthen
Worthen is a surname and place name of English origin that appears as a variant of the name Worthington.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576cceb881908579b56d91b15dec |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075925b18819084c6d476eceea5f5 |
completed | May 10, 2026, 12:09 p.m. |
Created at: April 10, 2026, 5:15 a.m.