Triple
T9539239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June Hovick |
E230103
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hovick
Hovick is the surname of American actress and author June Hovick, better known as June Havoc, a vaudeville child star and Broadway performer.
|
E805305
|
NE FINISHED |
How this triple was built (4 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: [June Hovick, familyName, Hovick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hovick Context triple: [June Hovick, familyName, Hovick]
-
A.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
B.
Bervie
Bervie is a civil parish in Aberdeenshire, Scotland, encompassing the coastal town of Inverbervie and its surrounding area.
-
C.
Steenbock
Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
-
D.
Melk
Melk is a small Austrian town on the Danube best known for its magnificent baroque Benedictine abbey overlooking the Wachau Valley.
-
E.
Borregaard
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hovick Triple: [June Hovick, familyName, Hovick]
Generated description
Hovick is the surname of American actress and author June Hovick, better known as June Havoc, a vaudeville child star and Broadway performer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hovick Target entity description: Hovick is the surname of American actress and author June Hovick, better known as June Havoc, a vaudeville child star and Broadway performer.
-
A.
Hoornaar
Hoornaar is a village in the Dutch province of South Holland, known for its rural character and traditional polder landscape.
-
B.
Bervie
Bervie is a civil parish in Aberdeenshire, Scotland, encompassing the coastal town of Inverbervie and its surrounding area.
-
C.
Steenbock
Steenbock is a German-origin surname most notably associated with biochemist Harry Steenbock, known for his pioneering work on vitamin D fortification.
-
D.
Melk
Melk is a small Austrian town on the Danube best known for its magnificent baroque Benedictine abbey overlooking the Wachau Valley.
-
E.
Borregaard
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
- F. None of above. chosen
Provenance (5 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98e4df6c8190a4d1160c42daa45f |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c5da5a081909d646c69d5de8e18 |
completed | April 4, 2026, 5:37 p.m. |
| NEDg | Description generation | batch_69d14d0c39c88190a705470104dc7b80 |
completed | April 4, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14d79065081908a4e619c71e0d359 |
completed | April 4, 2026, 5:42 p.m. |
Created at: March 30, 2026, 8:01 p.m.