Triple
T8871757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francis B. Sayre Sr. |
E211172
|
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: [Francis B. Sayre Sr., familyName, Sayre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayre Context triple: [Francis B. Sayre Sr., 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.
Ruston
Ruston is a surname most notably associated with Joseph Victor Anthony Ruston, better known as the actor and humanitarian Audrey Hepburn’s father.
-
C.
Searcy
Searcy is a surname of English origin borne by various individuals, including American actor Nick Searcy.
-
D.
Little Rock
Little Rock is a young survivor and con artist in the post-apocalyptic comedy film "Zombieland," known for traveling with her sister Wichita and forming bonds with the other main characters.
-
E.
Pine Bluff, Arkansas
Pine Bluff, Arkansas is a small city in southeast Arkansas known as an industrial and research hub, including nearby federal scientific and toxicological facilities.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc61281e888190a32b08980310979f |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0f1f1888190a5b514b895e44799 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:51 p.m.