Triple
T10902595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Huizenga |
E257483
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Huizenga
Huizenga is a Dutch-origin surname most notably associated with American businessman Wayne Huizenga, who built major companies such as Waste Management, Blockbuster, and AutoNation.
|
E891861
|
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: Huizenga | Statement: [Wayne Huizenga, familyName, Huizenga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huizenga Context triple: [Wayne Huizenga, familyName, Huizenga]
-
A.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
B.
Flerzheim
Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Willenberg
Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
-
D.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
-
E.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
- 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: Huizenga Triple: [Wayne Huizenga, familyName, Huizenga]
Generated description
Huizenga is a Dutch-origin surname most notably associated with American businessman Wayne Huizenga, who built major companies such as Waste Management, Blockbuster, and AutoNation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huizenga Target entity description: Huizenga is a Dutch-origin surname most notably associated with American businessman Wayne Huizenga, who built major companies such as Waste Management, Blockbuster, and AutoNation.
-
A.
Hohberg
Hohberg is a municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
-
B.
Flerzheim
Flerzheim is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
-
C.
Willenberg
Willenberg is the former German name of the town now known as Wielbark, located in northern Poland.
-
D.
Teckberg
Teckberg is a prominent hill in the Swabian Jura of Baden-Württemberg, Germany, best known as the site of the historic Teck Castle overlooking the surrounding region.
-
E.
Ockenga
Ockenga is a surname most notably associated with Harold Ockenga, a prominent American evangelical leader and theologian.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d761a4e9d48190b107839761a2152b |
completed | April 9, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e1553bb88c8190b9730a31977e1dd1 |
completed | April 16, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69e175e336848190b2c7226524266efa |
completed | April 16, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e17d46b7b881908bc3246b462f4612 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 8, 2026, 9:22 p.m.