Triple
T4232999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heinsius |
E94624
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Heins
Heins is a variant form of the Dutch surname Heinsius, historically associated with notable scholars and statesmen in the Netherlands.
|
E421790
|
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: Heins | Statement: [Heinsius, hasVariant, Heins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heins Context triple: [Heinsius, hasVariant, Heins]
-
A.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
B.
Heini
Heini is a diminutive form of the German given name Heinrich, often used as an affectionate nickname.
-
C.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
D.
Heinsohn
Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
-
E.
Henreid
Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
- 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: Heins Triple: [Heinsius, hasVariant, Heins]
Generated description
Heins is a variant form of the Dutch surname Heinsius, historically associated with notable scholars and statesmen in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heins Target entity description: Heins is a variant form of the Dutch surname Heinsius, historically associated with notable scholars and statesmen in the Netherlands.
-
A.
Hein
Hein is a Dutch surname most notably borne by Piet Hein, a renowned 17th-century naval officer and folk hero of the Dutch Republic.
-
B.
Heini
Heini is a diminutive form of the German given name Heinrich, often used as an affectionate nickname.
-
C.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
D.
Heinsohn
Heinsohn is a surname most prominently associated with Tom Heinsohn, a Hall of Fame Boston Celtics player, coach, and broadcaster.
-
E.
Henreid
Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
- 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_69b34537cc6481909cd0a96acbb33ef7 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e65720c819087c4022c774ff7c3 |
completed | March 12, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b596516fd88190b8497ccc7efc7f49 |
completed | March 14, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69b59731052881908d9358dc629a4018 |
completed | March 14, 2026, 5:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b597c529a08190bbf2af92bfef1aa2 |
completed | March 14, 2026, 5:15 p.m. |
Created at: March 12, 2026, 11:05 p.m.