Triple
T15213979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enger Hill |
E363589
|
entity |
| Predicate | hasNameOrigin |
P3325
|
FINISHED |
| Object |
Bert Enger
Bert Enger was a prominent Duluth, Minnesota businessman and philanthropist whose legacy includes the naming of Enger Hill and the nearby Enger Tower.
|
E1143652
|
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: Bert Enger | Statement: [Enger Hill, hasNameOrigin, Bert Enger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bert Enger Context triple: [Enger Hill, hasNameOrigin, Bert Enger]
-
A.
Frank Bracht
Frank Bracht was an American film editor known for his work on mid-20th-century Hollywood productions, including the biographical drama "Harlow" (1965).
-
B.
Ernie Wright
Ernie Wright was a baseball team owner best known for his role in running the Negro league franchise the Cleveland Buckeyes.
-
C.
George Borchers
George Borchers was a 19th-century American professional baseball pitcher who played in Major League Baseball.
-
D.
Frank Hagen
Frank Hagen is one of the sons of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo’s "The Godfather" universe.
-
E.
Ron Hagen
Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
- 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: Bert Enger Triple: [Enger Hill, hasNameOrigin, Bert Enger]
Generated description
Bert Enger was a prominent Duluth, Minnesota businessman and philanthropist whose legacy includes the naming of Enger Hill and the nearby Enger Tower.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bert Enger Target entity description: Bert Enger was a prominent Duluth, Minnesota businessman and philanthropist whose legacy includes the naming of Enger Hill and the nearby Enger Tower.
-
A.
Frank Bracht
Frank Bracht was an American film editor known for his work on mid-20th-century Hollywood productions, including the biographical drama "Harlow" (1965).
-
B.
Ernie Wright
Ernie Wright was a baseball team owner best known for his role in running the Negro league franchise the Cleveland Buckeyes.
-
C.
George Borchers
George Borchers was a 19th-century American professional baseball pitcher who played in Major League Baseball.
-
D.
Frank Hagen
Frank Hagen is one of the sons of Tom Hagen, the fictional consigliere to the Corleone family in Mario Puzo’s "The Godfather" universe.
-
E.
Ron Hagen
Ron Hagen is a cinematographer best known for his work on the Australian film "Romper Stomper."
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076e4348819091fa91c1562e7c5c |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed341cfb8819086b386c6cb905eda |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed45bfb0c8190a0a02c51b027bd64 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed4c6aaf88190af2f1d3a1280b825 |
completed | May 9, 2026, 6:31 a.m. |
Created at: April 10, 2026, 3:11 a.m.