Triple
T11524309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Thompson Hovick |
E273250
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hovick |
E805305
|
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: Hovick | Statement: [Rose Thompson Hovick, familyName, Hovick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hovick Context triple: [Rose Thompson Hovick, familyName, Hovick]
-
A.
Hovick
chosen
Hovick is the surname of American actress and author June Hovick, better known as June Havoc, a vaudeville child star and Broadway performer.
-
B.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
C.
Bervie
Bervie is a civil parish in Aberdeenshire, Scotland, encompassing the coastal town of Inverbervie and its surrounding area.
-
D.
Steenbock
Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
-
E.
Melk
Melk is a small Austrian town on the Danube best known for its magnificent baroque Benedictine abbey overlooking the Wachau Valley.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fd26648819083de19bcddf8ad69 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e62562efb88190bbf3c7bbec8233aa |
completed | April 20, 2026, 1:08 p.m. |
Created at: April 8, 2026, 9:37 p.m.