Triple
T16263420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul F. Tompkins |
E394811
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tompkins |
E472360
|
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: Tompkins | Statement: [Paul F. Tompkins, familyName, Tompkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tompkins Context triple: [Paul F. Tompkins, familyName, Tompkins]
-
A.
Tompkins
chosen
Tompkins is a surname most notably associated with Daniel D. Tompkins, the fourth governor of New York and seventh vice president of the United States.
-
B.
Rensselaer
Rensselaer is a masculine given name of English origin, now rare, that has historically appeared in the United States.
-
C.
Dunwoodie
Dunwoodie is the commonly used name for St. Joseph’s Seminary, a major Roman Catholic seminary in Yonkers, New York.
-
D.
Newfane
Newfane is a small historic town in southeastern Vermont that serves as the county seat of Windham County.
-
E.
Tivoli, New York
Tivoli, New York is a small historic village on the eastern bank of the Hudson River in Dutchess County, known for its rural charm and proximity to Bard College.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c672248190a4261be4696d52c5 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b5f3a8819083128cf2b90cfd84 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.