Triple
T17281748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Hofheinz |
E419544
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Fred Hofheinz
Fred Hofheinz is an American attorney and politician who served as mayor of Houston, Texas, in the 1970s.
|
E1271400
|
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: Fred Hofheinz | Statement: [Roy Hofheinz, hasChild, Fred Hofheinz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Hofheinz Context triple: [Roy Hofheinz, hasChild, Fred Hofheinz]
-
A.
Erwin Schoettle
Erwin Schoettle was a German Social Democratic politician and resistance figure who became a prominent postwar Bundestag member and federal official.
-
B.
Louis Butz
Louis Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
-
C.
Karl Seitz
Karl Seitz was an Austrian Social Democratic politician who served as mayor of Vienna and later as President of Austria during the interwar period.
-
D.
Hermann Spies
Hermann Spies was a notable individual bearing the surname Spies, recognized enough to be specifically cited among people with that name.
-
E.
Karl Weisenberger
Karl Weisenberger was a German general in the Wehrmacht during World War II who held several high-level command positions on the Eastern and Western Fronts.
- 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: Fred Hofheinz Triple: [Roy Hofheinz, hasChild, Fred Hofheinz]
Generated description
Fred Hofheinz is an American attorney and politician who served as mayor of Houston, Texas, in the 1970s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Hofheinz Target entity description: Fred Hofheinz is an American attorney and politician who served as mayor of Houston, Texas, in the 1970s.
-
A.
Erwin Schoettle
Erwin Schoettle was a German Social Democratic politician and resistance figure who became a prominent postwar Bundestag member and federal official.
-
B.
Louis Butz
Louis Butz is an individual notable enough to be recognized as a prominent bearer of the surname Butz.
-
C.
Karl Seitz
Karl Seitz was an Austrian Social Democratic politician who served as mayor of Vienna and later as President of Austria during the interwar period.
-
D.
Hermann Spies
Hermann Spies was a notable individual bearing the surname Spies, recognized enough to be specifically cited among people with that name.
-
E.
Karl Weisenberger
Karl Weisenberger was a German general in the Wehrmacht during World War II who held several high-level command positions on the Eastern and Western Fronts.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332a4c008190b44f4145d0e94a21 |
completed | April 19, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c1e9985c8190861ddd9eced1414b |
completed | May 11, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_6a01c2e2f3988190af955c99d5dd7c90 |
completed | May 11, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c330dbe88190ab9a594523653a10 |
completed | May 11, 2026, 11:53 a.m. |
Created at: April 10, 2026, 5:40 a.m.