Triple
T11615519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Dennison Jr. |
E275494
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dennison |
E604871
|
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: Dennison | Statement: [William Dennison Jr., familyName, Dennison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennison Context triple: [William Dennison Jr., familyName, Dennison]
-
A.
Dennison
chosen
Dennison is the middle name of William Stephens, used as part of his full personal name.
-
B.
Dennison, Ohio
Dennison, Ohio is a small village in eastern Ohio historically known as a key railroad hub and World War II canteen stop for troop trains.
-
C.
Denniston
Denniston is a historic former coal-mining town on New Zealand’s rugged West Coast, known for its dramatic plateau setting and the famous Denniston Incline.
-
D.
Alanson
Alanson is a small village in northern Michigan known for its location along the Crooked River and its access to the Inland Waterway.
-
E.
Worthington
Worthington is an English-origin surname borne by numerous notable figures in politics, industry, and the arts.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04675e08190837a3717242fd0f9 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a84924a0819084c43aeb7c57ac10 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:38 p.m.