Triple
T3023079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omaha Central High School |
E82508
|
entity |
| Predicate | hasAlumni |
P51
|
FINISHED |
| Object |
Hal Daub
Hal Daub is an American politician and attorney best known for serving as mayor of Omaha, Nebraska, and as a member of the U.S. House of Representatives.
|
E320860
|
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: Hal Daub | Statement: [Omaha Central High School, hasAlumni, Hal Daub]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hal Daub Context triple: [Omaha Central High School, hasAlumni, Hal Daub]
-
A.
Philip Dunne
Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
-
B.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
C.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
-
D.
Paul Harb
Paul Harb is a film editor known for his work on action movies, including the 2010 ensemble film "The Expendables."
-
E.
Hal Stevens
Hal Stevens is an individual notable enough to be recognized as a bearer of the surname Stevens, though specific widely known achievements or roles are not clearly documented.
- 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: Hal Daub Triple: [Omaha Central High School, hasAlumni, Hal Daub]
Generated description
Hal Daub is an American politician and attorney best known for serving as mayor of Omaha, Nebraska, and as a member of the U.S. House of Representatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hal Daub Target entity description: Hal Daub is an American politician and attorney best known for serving as mayor of Omaha, Nebraska, and as a member of the U.S. House of Representatives.
-
A.
Philip Dunne
Philip Dunne was an American screenwriter, director, and producer best known for his work on classic Hollywood films from the 1930s through the 1960s.
-
B.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
C.
Al McWhiggin
Al McWhiggin is the greedy toy collector and antagonist in Pixar's animated film "Toy Story 2," known for stealing Woody to complete a valuable toy set.
-
D.
Paul Harb
Paul Harb is a film editor known for his work on action movies, including the 2010 ensemble film "The Expendables."
-
E.
Hal Stevens
Hal Stevens is an individual notable enough to be recognized as a bearer of the surname Stevens, though specific widely known achievements or roles are not clearly documented.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9ab8e0a48190ac79e674abd181cf |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deafdcb881908174331d5bfc6349 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df36fc448190856cda08f83feded |
completed | March 11, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1dfae6bb48190828820eae70e2f84 |
completed | March 11, 2026, 9:33 p.m. |
Created at: March 8, 2026, 3 p.m.